ML/stats/AI/LLM/data sci resources including free courses with video lectures from various universities from around the world: [GitHub - patrickloeber/ml-study-plan: The Ultimate FREE Machine Learning Study Plan](https://github.com/patrickloeber/ml-study-plan) [GitHub - dair-ai/ML-YouTube-Courses: 📺 Discover the latest machine learning / AI courses on YouTube.](https://github.com/dair-ai/ML-YouTube-Courses) [GitHub - yazdotai/machine-learning-video-courses: Comprehensive list of machine learning videos](https://github.com/yazdotai/machine-learning-video-courses) [GitHub - mirerfangheibi/Machine-Learning-Resources: Free and High-Quality Materials to Study Deep Learning](https://github.com/mirerfangheibi/Machine-Learning-Resources) [ML Resources](https://sgfin.github.io/learning-resources/#ml) [GitHub - geekywrites/datascience: This repository is a compilation of free resources for learning Data Science.](https://github.com/therealsreehari/Learn-Data-Science-For-Free) [GitHub - openlists/MathStatsResources](https://github.com/openlists/MathStatsResources) [GitHub - mdozmorov/Statistics_notes: Statistics, data analysis tutorials and learning resources](https://github.com/mdozmorov/Statistics_notes) [GitHub - Machine-Learning-Tokyo/AI_Curriculum: Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.](https://github.com/Machine-Learning-Tokyo/AI_Curriculum) [GitHub - bentrevett/machine-learning-courses: A collection of machine learning courses.](https://github.com/bentrevett/machine-learning-courses) [GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.](https://github.com/Developer-Y/cs-video-courses?tab=readme-ov-file#artificial-intelligence) [GitHub - tigerneil/awesome-deep-rl: For deep RL and the future of AI.](https://github.com/tigerneil/awesome-deep-rl) [GitHub - Developer-Y/math-science-video-lectures: List of Science courses with video lectures](https://github.com/Developer-Y/math-science-video-lectures) [GitHub - Machine-Learning-Tokyo/Math_resources](https://github.com/Machine-Learning-Tokyo/Math_resources) [GitHub - dair-ai/Mathematics-for-ML: 🧮 A collection of resources to learn mathematics for machine learning](https://github.com/dair-ai/Mathematics-for-ML) [Foundations of Machine Learning](https://bloomberg.github.io/foml/#lectures) [Data Science and Machine Learning Resources — Jon Krohn](https://www.jonkrohn.com/resources) https://www.kdnuggets.com/10-github-repositories-to-master-machine-learning [GitHub - exajobs/university-courses-collection: A collection of awesome CS courses, assignments, lectures, notes, readings & examinations available online for free.](https://github.com/exajobs/university-courses-collection?tab=readme-ov-file#artificial-intelligence) [GitHub - prakhar1989/awesome-courses: :books: List of awesome university courses for learning Computer Science!](https://github.com/prakhar1989/awesome-courses?tab=readme-ov-file#artificial-intelligence) [GitHub - owainlewis/awesome-artificial-intelligence: A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.](https://github.com/owainlewis/awesome-artificial-intelligence) [GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.](https://github.com/josephmisiti/awesome-machine-learning) [GitHub - academic/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.](https://github.com/academic/awesome-datascience?tab=readme-ov-file#the-data-science-toolbox) [GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.](https://github.com/ChristosChristofidis/awesome-deep-learning) [GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier](https://github.com/guillaume-chevalier/Awesome-Deep-Learning-Resources?tab=readme-ov-file#online-classes) [GitHub - MartinuzziFrancesco/awesome-scientific-machine-learning: A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software](https://github.com/MartinuzziFrancesco/awesome-scientific-machine-learning) [GitHub - SE-ML/awesome-seml: A curated list of articles that cover the software engineering best practices for building machine learning applications.](https://github.com/SE-ML/awesome-seml) [GitHub - jtoy/awesome-tensorflow: TensorFlow - A curated list of dedicated resources http://tensorflow.org](https://github.com/jtoy/awesome-tensorflow) [GitHub - altamiracorp/awesome-xai: Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources](https://github.com/altamiracorp/awesome-xai) [GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources](https://github.com/ujjwalkarn/Machine-Learning-Tutorials) [GitHub - kiloreux/awesome-robotics: A list of awesome Robotics resources](https://github.com/kiloreux/awesome-robotics) [GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources](https://github.com/jbhuang0604/awesome-computer-vision) [GitHub - dk-liang/Awesome-Visual-Transformer: Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)](https://github.com/dk-liang/Awesome-Visual-Transformer) [GitHub - ChanganVR/awesome-embodied-vision: Reading list for research topics in embodied vision](https://github.com/ChanganVR/awesome-embodied-vision) [GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning](https://github.com/EthicalML/awesome-production-machine-learning) [GitHub - wangyongjie-ntu/Awesome-explainable-AI: A collection of research materials on explainable AI/ML](https://github.com/wangyongjie-ntu/Awesome-explainable-AI) [GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome responsible machine learning resources.](https://github.com/jphall663/awesome-machine-learning-interpretability) [GitHub - JShollaj/awesome-llm-interpretability: A curated list of Large Language Model (LLM) Interpretability resources.](https://github.com/JShollaj/awesome-llm-interpretability) [GitHub - MinghuiChen43/awesome-deep-phenomena: A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...](https://github.com/MinghuiChen43/awesome-deep-phenomena) [GitHub - Nikasa1889/awesome-deep-learning-theory: A curated list of awesome Deep Learning theories that shed light on the mysteries of DL](https://github.com/Nikasa1889/awesome-deep-learning-theory) https://arxiv.org/abs/2106.10165 [GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets.](https://github.com/awesomedata/awesome-public-datasets) [GitHub - jsbroks/awesome-dataset-tools: 🔧 A curated list of awesome dataset tools](https://github.com/jsbroks/awesome-dataset-tools) [GitHub - mint-lab/awesome-robotics-datasets: A collection of useful datasets for robotics and computer vision](https://github.com/mint-lab/awesome-robotics-datasets) [GitHub - kelvins/awesome-mlops: :sunglasses: A curated list of awesome MLOps tools](https://github.com/kelvins/awesome-mlops) [GitHub - Bisonai/awesome-edge-machine-learning: A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.](https://github.com/Bisonai/awesome-edge-machine-learning) [GitHub - HQarroum/awesome-iot: 🤖 A curated list of awesome Internet of Things projects and resources.](https://github.com/HQarroum/awesome-iot) [GitHub - kitspace/awesome-electronics: A curated list of awesome resources for Electronic Engineers and hobbyists](https://github.com/kitspace/awesome-electronics) llm fundamentals [GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.](https://github.com/mlabonne/llm-course) [GitHub - nlpfromscratch/nlp-llms-resources: Master list of curated resources on NLP and LLMs](https://github.com/nlpfromscratch/nlp-llms-resources) [GitHub - Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model](https://github.com/Hannibal046/Awesome-LLM?tab=readme-ov-file#courses) https://medium.com/data-and-beyond/curated-list-of-genai-llm-learning-resources-208ac2189def [LLM Introduction: Learn Language Models · GitHub](https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d) [The NLP Index](https://index.quantumstat.com/) [GitHub - brianspiering/awesome-dl4nlp: A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources](https://github.com/brianspiering/awesome-dl4nlp) [GitHub - keon/awesome-nlp: :book: A curated list of resources dedicated to Natural Language Processing (NLP)](https://github.com/keon/awesome-nlp) llms more [GitHub - steven2358/awesome-generative-ai: A curated list of modern Generative Artificial Intelligence projects and services](https://github.com/steven2358/awesome-generative-ai#readme) [GitHub - sindresorhus/awesome-chatgpt: 🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI](https://github.com/sindresorhus/awesome-chatgpt#readme) [GitHub - humanloop/awesome-chatgpt: Curated list of awesome tools, demos, docs for ChatGPT and GPT-3](https://github.com/humanloop/awesome-chatgpt) [GitHub - Kamigami55/awesome-chatgpt: Curated list of ChatGPT related resource, tools, prompts, apps / ChatGPT 相關優質資源、工具、應用的精選清單。](https://github.com/Kamigami55/awesome-chatgpt) [GitHub - saharmor/awesome-chatgpt: Selected ChatGPT demos, tools, articles, and more ✨](https://github.com/saharmor/awesome-chatgpt) [GitHub - kyrolabs/awesome-langchain: 😎 Awesome list of tools and projects with the awesome LangChain framework](https://github.com/kyrolabs/awesome-langchain) [GitHub - Hyraze/ai-collective-tools: Explore a curated selection of AI tools and resources](https://github.com/Hyraze/ai-collective-tools) [GitHub - mahseema/awesome-ai-tools: A curated list of Artificial Intelligence Top Tools](https://github.com/mahseema/awesome-ai-tools) domain adaptation, generalization [GitHub - zhaoxin94/awesome-domain-adaptation: A collection of AWESOME things about domian adaptation](https://github.com/zhaoxin94/awesome-domain-adaptation) computer vision [GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources](https://github.com/jbhuang0604/awesome-computer-vision) [GitHub - kjw0612/awesome-deep-vision: A curated list of deep learning resources for computer vision](https://github.com/kjw0612/awesome-deep-vision) [GitHub - jinwchoi/awesome-action-recognition: A curated list of action recognition and related area resources](https://github.com/jinwchoi/awesome-action-recognition) [GitHub - bertjiazheng/awesome-scene-understanding: 😎 A list of awesome scene understanding papers.](https://github.com/bertjiazheng/awesome-scene-understanding) [GitHub - polarisZhao/awesome-face: 😎 face releated algorithm, dataset and paper](https://github.com/polarisZhao/awesome-face) [GitHub - ChanChiChoi/awesome-Face_Recognition: papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;](https://github.com/ChanChiChoi/awesome-Face_Recognition) [GitHub - wangzheallen/awesome-human-pose-estimation: Human Pose Estimation Related Publication](https://github.com/wangzheallen/awesome-human-pose-estimation) ai applications and subfields [GitHub - yuzhimanhua/Awesome-Scientific-Language-Models: A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery](https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models) [GitHub - georgezouq/awesome-ai-in-finance: 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.](https://github.com/georgezouq/awesome-ai-in-finance) [GitHub - jyguyomarch/awesome-conversational-ai: A curated list of delightful Conversational AI resources.](https://github.com/jyguyomarch/awesome-conversational-ai) [GitHub - theimpossibleastronaut/awesome-linguistics: A curated list of anything remotely related to linguistics](https://github.com/theimpossibleastronaut/awesome-linguistics) [GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning](https://github.com/timzhang642/3D-Machine-Learning) [GitHub - yenchenlin/awesome-adversarial-machine-learning: A curated list of awesome adversarial machine learning resources](https://github.com/yenchenlin/awesome-adversarial-machine-learning) [GitHub - chbrian/awesome-adversarial-examples-dl: A curated list of awesome resources for adversarial examples in deep learning](https://github.com/chbrian/awesome-adversarial-examples-dl) [GitHub - fepegar/awesome-medical-imaging: Awesome list of software that I use to do research in medical imaging.](https://github.com/fepegar/awesome-medical-imaging) [GitHub - awesome-NeRF/awesome-NeRF: A curated list of awesome neural radiance fields papers](https://github.com/awesome-NeRF/awesome-NeRF) [GitHub - vsitzmann/awesome-implicit-representations: A curated list of resources on implicit neural representations.](https://github.com/vsitzmann/awesome-implicit-representations) [GitHub - weihaox/awesome-neural-rendering: Resources of Neural Rendering](https://github.com/weihaox/awesome-neural-rendering) [GitHub - zhoubolei/awesome-generative-modeling: Bolei's archive on generative modeling](https://github.com/zhoubolei/awesome-generative-modeling) [GitHub - XindiWu/Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging: A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by](https://github.com/XindiWu/Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging) [GitHub - hoya012/awesome-anomaly-detection: A curated list of awesome anomaly detection resources](https://github.com/hoya012/awesome-anomaly-detection) [GitHub - subeeshvasu/Awsome_Deep_Geometry_Learning: A list of resources about deep learning solutions on 3D shape processing](https://github.com/subeeshvasu/Awsome_Deep_Geometry_Learning) [GitHub - subeeshvasu/Awesome-Neuron-Segmentation-in-EM-Images: A curated list of resources for 3D segmentation of neurites in EM images](https://github.com/subeeshvasu/Awesome-Neuron-Segmentation-in-EM-Images) [GitHub - subeeshvasu/Awsome_Delineation](https://github.com/subeeshvasu/Awsome_Delineation) [GitHub - subeeshvasu/Awsome-GAN-Training: A curated list of resources related to training of GANs](https://github.com/subeeshvasu/Awsome-GAN-Training) [GitHub - nashory/gans-awesome-applications: Curated list of awesome GAN applications and demo](https://github.com/nashory/gans-awesome-applications) [GitHub - tstanislawek/awesome-document-understanding: A curated list of resources for Document Understanding (DU) topic](https://github.com/tstanislawek/awesome-document-understanding) [GitHub - matthewvowels1/Awesome-Video-Generation: A curated list of awesome work on video generation and video representation learning, and related topics.](https://github.com/matthewvowels1/Awesome-Video-Generation) [GitHub - datamllab/awesome-fairness-in-ai: A curated list of awesome Fairness in AI resources](https://github.com/datamllab/awesome-fairness-in-ai) other ml [GitHub - n2cholas/awesome-jax: JAX - A curated list of resources https://github.com/google/jax](https://github.com/n2cholas/awesome-jax) [GitHub - benedekrozemberczki/awesome-gradient-boosting-papers: A curated list of gradient boosting research papers with implementations.](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) [GitHub - benedekrozemberczki/awesome-monte-carlo-tree-search-papers: A curated list of Monte Carlo tree search papers with implementations.](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers) [GitHub - igorbarinov/awesome-data-engineering: A curated list of data engineering tools for software developers](https://github.com/igorbarinov/awesome-data-engineering) [GitHub - oxnr/awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness.](https://github.com/oxnr/awesome-bigdata) [GitHub - benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations.](https://github.com/benedekrozemberczki/awesome-decision-tree-papers) [GitHub - chihming/awesome-network-embedding: A curated list of network embedding techniques.](https://github.com/chihming/awesome-network-embedding) Math [GitHub - llSourcell/learn_math_fast: This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube](https://github.com/llSourcell/learn_math_fast)[GitHub - Developer-Y/math-science-video-lectures: List of Science courses with video lectures](https://github.com/Developer-Y/math-science-video-lectures) [GitHub - openlists/MathStatsResources](https://github.com/openlists/MathStatsResources) [GitHub - rossant/awesome-math: A curated list of awesome mathematics resources](https://github.com/rossant/awesome-math) [This is a collection of resources of mathematics for engineering students · GitHub](https://gist.github.com/yewalenikhil65/da90ca0c46af36c935b8123593ff0e9b) [GitHub - HimoriK/modern-math-collection: A super math collection of resources to study as painlessly as possible](https://github.com/HimoriK/modern-math-collection) [GitHub - atkirtland/awesome-computational-geometry: A curated list of awesome computational geometry visualizations, frameworks, and resources](https://github.com/atkirtland/awesome-computational-geometry#readme) [GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations.](https://github.com/benedekrozemberczki/awesome-graph-classification) physics [GitHub - Hridoy-31/physics-video-courses: List of Physics courses with video lectures.](https://github.com/Hridoy-31/physics-video-courses) [How_to_learn_Physics_from_the_ground_up/README.md at main · joaocarvalhoopen/How_to_learn_Physics_from_the_ground_up · GitHub](https://github.com/joaocarvalhoopen/How_to_learn_Physics_from_the_ground_up/blob/main/README.md) [GitHub - llSourcell/Learn_Physics_in_2_Months: This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube](https://github.com/llSourcell/Learn_Physics_in_2_Months) [GitHub - comp-physics/awesome-numerics: Resources for learning about numerical methods.](https://github.com/comp-physics/awesome-numerics) engineering [GitHub - R-Dson/Youtube-courses-for-engineering-students: List of different engineerings courses.](https://github.com/R-Dson/Youtube-courses-for-engineering-students) Biology, neuroscience, psychology, chemistry, material science resources including free courses with video lectures from various universities from around the world [raivivek/awesome-biology 简介: Curated (meta)list of resources for Biology. | GitHub 中文社区](https://www.github-zh.com/projects/24221254-awesome-biology) [A resource for self-guided learning – Learning Resource List](https://ndcn.github.io/self-guided-learning/learning-resources.html) [bioinformatics-workshops-and-training-2015.md · GitHub](https://gist.github.com/gcostaneto/73ffc23657a2cbb6354678940c8ea155) [GitHub - davbl/learn-biology: Repository of educational resources for molecular biology.](https://github.com/dave-esch/learn-biology) [GitHub - keller-mark/awesome-biological-visualizations: A list of web-based interactive biological data visualizations.](https://github.com/keller-mark/awesome-biological-visualizations#readme) [GitHub - inoue0426/awesome-computational-biology: Awesome list of computational biology.](https://github.com/inoue0426/awesome-computational-biology#readme) [GitHub - eselkin/awesome-computational-neuroscience: A list of schools and researchers in computational neuroscience](https://github.com/eselkin/awesome-computational-neuroscience#readme) [GitHub - kakoni/awesome-healthcare: Curated list of awesome open source healthcare software, libraries, tools and resources.](https://github.com/kakoni/awesome-healthcare#readme) [GitHub - dreamingechoes/awesome-mental-health: A curated list of awesome articles, websites and resources about mental health in the software industry.](https://github.com/dreamingechoes/awesome-mental-health#readme) [GitHub - lmmentel/awesome-python-chemistry: A curated list of Python packages related to chemistry](https://github.com/lmmentel/awesome-python-chemistry) [GitHub - hsiaoyi0504/awesome-cheminformatics: A curated list of Cheminformatics libraries and software.](https://github.com/hsiaoyi0504/awesome-cheminformatics) [GitHub - tilde-lab/awesome-materials-informatics: Curated list of known efforts in materials informatics, i.e. in modern materials science](https://github.com/tilde-lab/awesome-materials-informatics) [GitHub - ipudu/awesome-molecular-dynamics: :sunglasses: A curated list of awesome Molecular Dynamics libraries, tools and software.](https://github.com/ipudu/awesome-molecular-dynamics) philosophy [GitHub - HussainAther/awesome-philosophy: A curated list of awesome philosophy](https://github.com/HussainAther/awesome-philosophy) [GitHub - HussainAther/awesome-ethics: A curated list of awesome ethics](https://github.com/HussainAther/awesome-ethics) science [GitHub - yuzhimanhua/Awesome-Scientific-Language-Models: A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery](https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models) [GitHub - deverte/awesome-science: A currated list of awesome scientific software, libraries and services.](https://github.com/deverte/awesome-science) [GitHub - Julie-Fabre/awesome_science: A curated list of awesome resources for science and academia.](https://github.com/Julie-Fabre/awesome_science) [GitHub - derikon/awesome-research: 📚 A curated list of research related topics](https://github.com/derikon/awesome-research) [GitHub - rossant/awesome-scientific-python: A curated list of awesome scientific Python resources](https://github.com/rossant/awesome-scientific-python) [GitHub - CollectiveReview/awesome-scisci: A curated list of awesome Science of science resources, libraries and platforms.](https://github.com/CollectiveReview/awesome-scisci) [GitHub - nschloe/awesome-scientific-computing: :sunglasses: Curated list of awesome software for numerical analysis and scientific computing](https://github.com/nschloe/awesome-scientific-computing) Lists of everything [GitHub - woop/awesome-quantified-self: :bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking](https://github.com/woop/awesome-quantified-self#readme) [GitHub - sindresorhus/awesome-awesome-awesome-awesome: A curated list of awesome lists of awesome lists.](https://github.com/sindresorhus/awesome-awesome-awesome-awesome?tab=readme-ov-file) [GitHub - t3chnoboy/awesome-awesome-awesome: :octocat: A a curated list of curated lists of awesome lists.](https://github.com/t3chnoboy/awesome-awesome-awesome) [GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics](https://github.com/sindresorhus/awesome) [awesome-list · GitHub Topics · GitHub](https://github.com/topics/awesome-list?l=python) [awesome-resources · GitHub Topics · GitHub](https://github.com/topics/awesome-resources) [GitHub - emijrp/awesome-awesome: A curated list of awesome curated lists of many topics.](https://github.com/emijrp/awesome-awesome) [GitHub - bayandin/awesome-awesomeness: A curated list of awesome awesomeness](https://github.com/bayandin/awesome-awesomeness) [awesome-list · GitHub Topics · GitHub](https://github.com/topics/awesome-list) [awesome-lists · GitHub Topics · GitHub](https://github.com/topics/awesome-lists) [awesome · GitHub Topics · GitHub](https://github.com/topics/awesome) [GitHub - umutphp/awesome-cli: A simple command line tool to give you a fancy command line interface to dive into Awesome lists.](https://github.com/umutphp/awesome-cli) [GitHub - papers-we-love/papers-we-love: Papers from the computer science community to read and discuss.](https://github.com/papers-we-love/papers-we-love) [GitHub - pFarb/awesome-crypto-papers: A curated list of cryptography papers, articles, tutorials and howtos.](https://github.com/pFarb/awesome-crypto-papers) [GitHub - sobolevn/awesome-cryptography: A curated list of cryptography resources and links.](https://github.com/sobolevn/awesome-cryptography) [GitHub - DovAmir/awesome-design-patterns: A curated list of software and architecture related design patterns.](https://github.com/DovAmir/awesome-design-patterns) [GitHub - lucasviola/awesome-functional-programming: :alien: A curated list of functional programming resources such as blog posts, communities, discussion topics, wikis and more.](https://github.com/lucasviola/awesome-functional-programming) [GitHub - desireevl/awesome-quantum-computing: A curated list of awesome quantum computing learning and developing resources.](https://github.com/desireevl/awesome-quantum-computing?tab=readme-ov-file#videos) [GitHub - mostafatouny/awesome-theoretical-computer-science: The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.](https://github.com/mostafatouny/awesome-theoretical-computer-science) [GitHub - ossu/computer-science: 🎓 Path to a free self-taught education in Computer Science!](https://github.com/ossu/computer-science) [GitHub - delftopenhardware/awesome-open-hardware: 🛠Helpful items for making open source hardware projects.](https://github.com/delftopenhardware/awesome-open-hardware#readme) [GitHub - elburz/awesome-space: A curated list of awesome resources related to Outer Space](https://github.com/elburz/awesome-space) [GitHub - Hunter-Github/awesome-space-books: A list of space exploration related books (some are online, some are on paper)](https://github.com/Hunter-Github/awesome-space-books?tab=readme-ov-file#interdisciplinary-books) [GitHub - rshipp/awesome-malware-analysis: Defund the Police.](https://github.com/rshipp/awesome-malware-analysis) [GitHub - silky/awesome-open-science: some links to projects/tools related to "open science".](https://github.com/silky/awesome-open-science) [GitHub - sindresorhus/awesome-scifi: Sci-Fi worth consuming](https://github.com/sindresorhus/awesome-scifi) [GitHub - 0xtokens/awesome-blockchain: Curated List of awesome Blockchain and Crytocurrency Resources](https://github.com/0xtokens/awesome-blockchain) [GitHub - imbaniac/awesome-blockchain: Curated list of blockchain services and exchanges 🔥🏦🔥🏦🔥🏦🔥](https://github.com/imbaniac/awesome-blockchain) [GitHub - coderplex-org/awesome-blockchain: A curated list of awesome Blockchain, Bitcoin and Ethereum related resources](https://github.com/coderplex-org/awesome-blockchain) [GitHub - hitripod/awesome-blockchain: Curated list of blockchain, Awesome Awesomeness](https://github.com/hitripod/awesome-blockchain) [GitHub - iNiKe/awesome-blockchain: Awesome of Blockchain, ICO, ₿itcoin, Cryptocurrencies](https://github.com/iNiKe/awesome-blockchain) [GitHub - igorbarinov/awesome-blockchain: Curated list of the bitcoin blockchain services](https://github.com/igorbarinov/awesome-blockchain) [GitHub - oiwn/awesome-blockchain: Awesome projects and services based on blockchain technology](https://github.com/oiwn/awesome-blockchain) [GitHub - openblockchains/awesome-blockchains: A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.](https://github.com/openblockchains/awesome-blockchains) [GitHub - Zheaoli/awesome-coins: ₿ A guide (for humans!) to cryto-currencies and their algos.](https://github.com/Zheaoli/awesome-coins) [GitHub - tayllan/awesome-algorithms: A curated list of awesome places to learn and/or practice algorithms.](https://github.com/tayllan/awesome-algorithms) [GitHub - enjalot/algovis: collection of projects and links about algorithm visualization](https://github.com/enjalot/algovis) [GitHub - okulbilisim/awesome-big-o: A curated list of awesome materials about Big O notation](https://github.com/okulbilisim/awesome-big-o) [GitHub - ChessMax/awesome-programming-languages: The list of awesome programming languages that you might be interested in.](https://github.com/ChessMax/awesome-programming-languages) [GitHub - mpkasp/awesome-hardware](https://github.com/mpkasp/awesome-hardware) [GitHub - mbrukman/awesome-computer-engineering: A curated list of awesome Computer Engineering resources [WIP - contributions are welcome]](https://github.com/mbrukman/awesome-computer-engineering)