{"id":15076155,"url":"https://github.com/getvmio/free-deep-learning-resources","last_synced_at":"2025-02-26T17:41:37.100Z","repository":{"id":251137493,"uuid":"822447673","full_name":"getvmio/free-deep-learning-resources","owner":"getvmio","description":"Deep Learning Free Resources | This repo collects 76 of free resources for Deep Learning. 🧠 Plumb the depths of AI with our Deep Learning Nexus repository! Explore a comprehensive collection of free resources on neural networks and deep learning architectures. 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Explore a comprehensive collection of free resources on neural networks and deep learning architectures. With our online Playground, implement cutting-edge models and push the boundaries of artificial intelligence.\n\n## Resources\n\n| Index | Name | Category | Description |\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| 1 | [UvA Deep Learning Course](https://getvm.io/tutorials/uva-deep-learning-course) | University Courses | Comprehensive course on the theory and applications of deep learning, with a focus on computer vision and language modelling. Taught by experienced faculty from the University of Amsterdam. |\n| 2 | [Deep Learning](https://getvm.io/tutorials/11-785-deep-learning-carnegie-mellon-university) | University Courses | Explore the fundamentals of deep learning, from basic concepts to advanced topics, with hands-on experience in PyTorch. Prepare to understand and extend the current literature on deep learning. |\n| 3 | [Machine Learning: Intro to Statistical Learning](https://getvm.io/tutorials/machine-learning-2014-2015-intro-to-statistical-learning-university-of-oxford) | University Courses | Comprehensive course covering fundamental machine learning concepts and techniques, taught by renowned expert Nando de Freitas. Hands-on practical sessions using Torch deep learning framework. |\n| 4 | [Convolutional Neural Networks for Visual Recognition](https://getvm.io/tutorials/cs-231n-convolutional-neural-networks-for-visual-recognition-stanford-university) | University Courses | Learn to implement, train and debug your own neural networks for computer vision and deep learning applications. |\n| 5 | [Deep Learning for Natural Language Processing](https://getvm.io/tutorials/cs-224d-deep-learning-for-natural-language-processing-stanford-university) | University Courses | Dive deep into cutting-edge research in deep learning for natural language processing (NLP). Implement, train, and invent your own neural network models for a variety of NLP tasks. |\n| 6 | [Introduction to Machine Learning](https://getvm.io/tutorials/cs-189-introduction-to-machine-learning-uc-berkeley) | University Courses | Comprehensive machine learning course covering theoretical foundations, algorithms, and practical applications. Suitable for students with math and computer science background. |\n| 7 | [Tensorflow for Deep Learning Research](https://getvm.io/tutorials/cs20si-tensorflow-for-deep-learning-research-stanford-university) | University Courses | Learn the fundamentals of TensorFlow for deep learning research. Build models for tasks like word embeddings, translation, and optical character recognition. |\n| 8 | [Deep Learning for Natural Language Processing](https://getvm.io/tutorials/deepnlp-deep-learning-for-natural-language-processing-university-of-oxford) | University Courses | Dive into the latest advancements in deep learning for NLP, including text analysis, speech recognition, language translation, and more. Gain a solid theoretical foundation and practical experience. |\n| 9 | [Machine Learning Specialization](https://getvm.io/tutorials/machine-learning-specialization) | Video Courses | Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online. |\n| 10 | [Deep Learning Fundamentals](https://getvm.io/tutorials/deep-learning-fundamentals) | Video Courses | Introductory book on deep learning fundamentals, covering neural networks, convolutional neural networks, recurrent nets, autoencoders, and deep learning use cases. |\n| 11 | [Deep Multi-Task and Meta Learning](https://getvm.io/tutorials/deep-multi-task-and-meta-learning) | Video Courses | In-depth understanding of state-of-the-art multi-task learning and meta-learning algorithms for few-shot learning, transfer learning, and lifelong learning. |\n| 12 | [A Selective Overview of Deep Learning](https://getvm.io/tutorials/a-selective-overview-of-deep-learning) | Technical Tutorials | Comprehensive overview of key concepts and recent advancements in deep learning, covering neural network models, training techniques, and theoretical foundations. |\n| 13 | [Deep Generative Models I](https://getvm.io/tutorials/stanford-cs236-deep-generative-models-i-2023-i-stefano-ermon) | University Courses | Explore the fundamentals of deep generative models, including VAEs, GANs, and flow-based models. Gain hands-on experience and insights into the latest research in this rapidly evolving field. |\n| 14 | [High-Level Vision](https://getvm.io/tutorials/high-level-vision-cbcsl-osu) | University Courses | Comprehensive course on advanced computer vision techniques, including object detection, recognition, and segmentation. Hands-on experience with state-of-the-art algorithms and real-world applications. |\n| 15 | [Advanced Computer Vision](https://getvm.io/tutorials/advanced-computer-vision-cbcsl-osu) | University Courses | Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications. |\n| 16 | [Deep Learning For Visual Computing](https://getvm.io/tutorials/nocdeep-learning-for-visual-computing-iit-kharagpur) | University Courses | Comprehensive introduction to deep learning techniques for visual computing applications, including image classification, object detection, and semantic segmentation. |\n| 17 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/eecs-498598-deep-learning-for-computer-vision-university-of-michigan-fall-2019) | University Courses | Comprehensive course on neural network-based deep learning methods for visual recognition tasks, including image classification and object detection. |\n| 18 | [Geometric Deep Learning](https://getvm.io/tutorials/geometric-deep-learning-ammi) | University Courses | Comprehensive course exploring the intersection of deep learning and geometric data structures, with hands-on experience and real-world applications. |\n| 19 | [Neural Networks: Zero to Hero](https://getvm.io/tutorials/neural-networks-zero-to-hero-andrej-karpathy) | University Courses | Comprehensive video series by renowned expert Andrej Karpathy, covering neural network fundamentals, advanced techniques, and practical applications. |\n| 20 | [Deep Learning CMU](https://getvm.io/tutorials/deep-learning-cmu) | University Courses | Explore the world of deep learning through expert-led video lectures from Carnegie Mellon University. Dive into neural networks, CNN, RNN, and more. |\n| 21 | [Deep Learning Systems](https://getvm.io/tutorials/10-414714-deep-learning-systems-cmu) | University Courses | Comprehensive introduction to deep learning systems, covering machine learning, neural networks, optimization, and hardware acceleration. Hands-on implementation of key concepts. |\n| 22 | [Deep Learning](https://getvm.io/tutorials/cmu-10-707-deep-learning-fall-2017-by-ruslan-salakhutdinov) | University Courses | Comprehensive introduction to deep learning, covering the latest techniques and applications. Taught by renowned expert Ruslan Salakhutdinov. |\n| 23 | [Intermediate Deep Learning](https://getvm.io/tutorials/cmu-10-417-10-617-intermediate-deep-learning-fall-2022-by-ruslan-salakhutdinov) | University Courses | Comprehensive course on advanced deep learning techniques, taught by leading expert Ruslan Salakhutdinov. Hands-on experience with cutting-edge models and applications. |\n| 24 | [Neural Networks for Machine Learning](https://getvm.io/tutorials/mooc-neural-networks-for-machine-learning-geoffrey-hinton-2016-coursera) | University Courses | Comprehensive introduction to neural networks and machine learning from renowned expert Geoffrey Hinton. Covers fundamentals, advanced topics, and hands-on coding exercises. |\n| 25 | [Practical Deep Learning for Coders](https://getvm.io/tutorials/part-1-practical-deep-learning-for-coders-v3-fastai) | University Courses | Learn how to apply deep learning and machine learning to real-world problems with this free course from fast.ai. Build and train models for computer vision, NLP, and more. |\n| 26 | [Deep Learning from the Foundations](https://getvm.io/tutorials/part-2-deep-learning-from-the-foundations-fastai) | University Courses | Gain a deep understanding of deep learning foundations and learn how to implement state-of-the-art models from scratch with fast.ai Part 2. |\n| 27 | [Neural Networks and Applications](https://getvm.io/tutorials/neural-networks-and-applications-iit-kharagpur) | University Courses | Comprehensive introduction to neural networks, covering architectures, algorithms, and real-world applications in image recognition, NLP, and predictive modeling. |\n| 28 | [Deep Learning](https://getvm.io/tutorials/cs7015-deep-learning-prof-mitesh-m-khapra-iit-madras) | University Courses | Comprehensive overview of deep learning, covering fundamental concepts, architectures, and applications. Taught by Prof. Mitesh M. Khapra from IIT Madras. |\n| 29 | [Introduction to Deep Learning](https://getvm.io/tutorials/6s191-introduction-to-deep-learning-mit) | University Courses | Dive into the fundamentals of deep learning with MIT's intensive bootcamp, covering cutting-edge topics in computer vision, natural language processing, and more. |\n| 30 | [Deep Learning for Self-Driving Cars](https://getvm.io/tutorials/6s094-deep-learning-for-self-driving-cars-mit) | University Courses | Comprehensive exploration of deep learning techniques and their application to autonomous vehicle development. Gain practical experience and in-depth knowledge in this cutting-edge field. |\n| 31 | [Deep Learning at Oxford 2015](https://getvm.io/tutorials/deep-learning-at-oxford-2015-nando-de-freitas) | University Courses | Comprehensive coverage of deep learning topics, delivered by a renowned expert. Includes hands-on demonstrations and code examples, suitable for beginners and advanced learners. |\n| 32 | [NYU Deep Learning](https://getvm.io/tutorials/nyu-deep-learning-spring-2020) | University Courses | Dive into the world of deep learning with this comprehensive Spring 2020 course from NYU. Learn advanced techniques from experienced instructors and access video lectures and course materials. |\n| 33 | [Deep Learning Course](https://getvm.io/tutorials/nyu-deep-learning-spring-2021) | University Courses | Comprehensive course on deep learning, covering fundamental concepts, neural network architectures, and hands-on implementation. Taught by experienced instructor from New York University. |\n| 34 | [Intro to Deep Learning \u0026 Generative Models](https://getvm.io/tutorials/intro-to-deep-learning-and-generative-models-course-prof-sebastian-raschka) | University Courses | Comprehensive course on deep learning fundamentals, generative models like VAEs and GANs, with hands-on tutorials using TensorFlow and PyTorch. |\n| 35 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/cs231n-deep-learning-for-computer-vision-winter-2016-andrej-karpathy-stanford-university) | University Courses | Comprehensive course on deep learning techniques for computer vision, taught by renowned expert Andrej Karpathy. Covers image classification, object detection, and more. |\n| 36 | [Designing, Visualizing \u0026 Understanding Deep Neural Networks](https://getvm.io/tutorials/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) | University Courses | Explore the design principles, visualization tools, and theoretical understanding of deep neural networks in this comprehensive course. Ideal for students interested in AI, computer vision, and natural language processing. |\n| 37 | [Deep Learning](https://getvm.io/tutorials/cs230-deep-learning-autumn-2018-stanford-university) | University Courses | Comprehensive deep learning course from Stanford University, covering neural networks, computer vision, NLP, and more. Hands-on projects and experienced instructors. |\n| 38 | [Deep Learning](https://getvm.io/tutorials/deep-learning-stanford-university) | University Courses | Learn top machine learning techniques, including linear regression and supervised learning, with hands-on implementation experience. Taught by experienced instructors from Stanford University. |\n| 39 | [Deep Learning Analysis](https://getvm.io/tutorials/stats-385-analysis-of-deep-learning-stanford) | University Courses | Comprehensive course on deep learning theory, architectures, and applications. Gain hands-on experience with implementing and training deep neural networks. |\n| 40 | [Theories of Deep Learning](https://getvm.io/tutorials/stats-385-theories-of-deep-learning-stanford) | University Courses | Comprehensive exploration of the theoretical foundations of deep learning, covering representation learning, optimization, and generalization. Ideal for graduate students, researchers, and AI professionals. |\n| 41 | [Applied Deep Learning 2022](https://getvm.io/tutorials/applied-deep-learning-2022-tu-wien) | University Courses | Comprehensive introduction to applied deep learning, covering the latest techniques and best practices. Hands-on experience in implementing and deploying deep learning models for real-world applications. |\n| 42 | [Deep Learning](https://getvm.io/tutorials/stat-157-deep-learning-2019-uc-berkeley) | University Courses | Comprehensive deep learning course from UC Berkeley covering neural networks, optimization, and real-world applications. Hands-on coding and experienced instructors. |\n| 43 | [Full Stack DL Bootcamp 2019](https://getvm.io/tutorials/full-stack-dl-bootcamp-2019-uc-berkeley) | University Courses | Comprehensive bootcamp covering the full stack of deep learning, from fundamentals to state-of-the-art models. Hands-on experience in building and deploying real-world deep learning applications. |\n| 44 | [Deep Learning](https://getvm.io/tutorials/stat-946-deep-learning-university-of-waterloo) | University Courses | Comprehensive introduction to deep learning, covering fundamental concepts, advanced topics, and hands-on exercises using popular frameworks like TensorFlow and PyTorch. |\n| 45 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/dlcv-deep-learning-for-computer-vision-upc-barcelona) | University Courses | Comprehensive course on deep learning for computer vision, covering CNN, RNN, GAN, and state-of-the-art models for image and video analysis. |\n| 46 | [Deep Learning for Artificial Intelligence](https://getvm.io/tutorials/dlai-deep-learning-for-artificial-intelligence-upc-barcelona) | University Courses | Comprehensive course on deep learning principles, techniques, and real-world applications in AI, offered by Universitat Politècnica de Catalunya (UPC) in Barcelona. |\n| 47 | [Deep Learning: CS 182](https://getvm.io/tutorials/deep-learning-cs-182-spring-2021) | University Courses | Dive into the fundamentals of deep learning with this in-depth course, covering neural networks, optimization, and real-world applications in computer vision, NLP, and more. |\n| 48 | [Deep Unsupervised Learning](https://getvm.io/tutorials/deep-unsupervised-learning-berkeley-spring-2020) | University Courses | Explore the latest developments in deep unsupervised learning, including GANs, VAEs, and more. Hands-on implementation and application of cutting-edge techniques. |\n| 49 | [Deep Unsupervised Learning](https://getvm.io/tutorials/cs294-158-deep-unsupervised-learning-sp19) | University Courses | Comprehensive exploration of deep learning techniques for unsupervised learning, including generative models, representation learning, and reinforcement learning. Hands-on experience and exposure to cutting-edge research. |\n| 50 | [Nvidia Machine Learning Class](https://getvm.io/tutorials/nvidia-machine-learning-class) | University Courses | Comprehensive Nvidia Machine Learning Class covering supervised, unsupervised learning, deep learning, and more. Presented by experienced experts with real-world examples. |\n| 51 | [Deep Unsupervised Learning](https://getvm.io/tutorials/cs294-deep-unsupervised-learning-spring-2024) | University Courses | Explore cutting-edge deep learning techniques in generative models and self-supervised learning. Taught by renowned instructors at UC Berkeley. |\n| 52 | [Advanced Introduction to Machine Learning](https://getvm.io/tutorials/10-715-advanced-introduction-to-machine-learning-cmu) | University Courses | Comprehensive and in-depth exploration of fundamental machine learning concepts and techniques, including deep learning, clustering, kernel machines, and graphical models. |\n| 53 | [Deep Reinforcement Learning \u0026 Control](https://getvm.io/tutorials/cmu-10-703-deep-reinforcement-learning-control-fall-2022-by-katerina-fragkiadaki) | University Courses | Explore the latest advancements in deep reinforcement learning with this comprehensive course by leading expert Katerina Fragkiadaki. Gain hands-on experience and tackle complex decision-making problems. |\n| 54 | [Introduction to Machine Learning](https://getvm.io/tutorials/introduction-to-machine-learning-spring-2018-eth-zurich) | University Courses | Comprehensive machine learning course from leading experts at ETH Zurich. Covers fundamentals, algorithms, and real-world applications. Free online video lectures. |\n| 55 | [Efficient Machine Learning](https://getvm.io/tutorials/mit-65940-efficientmlai-lecture-fall-2023) | University Courses | Explore the latest advancements in efficient machine learning techniques at the MIT 6.5940 EfficientML.ai Lecture, Fall 2023. Learn from industry experts and gain insights into optimizing AI solutions. |\n| 56 | [Machine Learning Course](https://getvm.io/tutorials/machine-learning-2013-nando-de-freitas-ubc) | University Courses | Comprehensive machine learning course taught by renowned expert Nando de Freitas at the University of British Columbia (UBC). Covers supervised, unsupervised, deep, and reinforcement learning. |\n| 57 | [Advanced Machine Learning](https://getvm.io/tutorials/advanced-machine-learning-2021-2022-sem-i-by-prof-madhavan-mukund-cmi) | University Courses | Explore the latest advancements in machine learning, including deep learning, Gaussian process regression, Bayesian optimization, and more, taught by an experienced professor at the Chennai Mathematical Institute. |\n| 58 | [PURDUE Machine Learning Summer School 2011](https://getvm.io/tutorials/purdue-machine-learning-summer-school-2011) | University Courses | Comprehensive course covering supervised, unsupervised, deep, and reinforcement learning, taught by experienced Purdue University instructors. Hands-on exercises and access to valuable resources. |\n| 59 | [Introduction to Machine Learning](https://getvm.io/tutorials/ee104-introduction-to-machine-learning-stanford-university) | University Courses | Comprehensive course on machine learning fundamentals, including supervised, unsupervised, deep learning, and reinforcement learning. Taught by experts from Stanford. |\n| 60 | [Deep Multi-Task \u0026 Meta Learning](https://getvm.io/tutorials/cs-330-deep-multi-task-and-meta-learning-fall-2019-stanford-university) | University Courses | Explore state-of-the-art multi-task learning and meta-learning algorithms in this graduate-level Stanford course, with a focus on coding problems and a course project. |\n| 61 | [Deep Multi-Task \u0026 Meta Learning I](https://getvm.io/tutorials/stanford-cs330-deep-multi-task-and-meta-learning-i-autumn-2022) | University Courses | Explore state-of-the-art multi-task learning and meta-learning algorithms in this graduate-level course, preparing you for research in deep learning. |\n| 62 | [Machine Learning](https://getvm.io/tutorials/uc-berkeley-cs-189-289a-introduction-to-machine-learning-fall-2023-by-jennifer-listgarten-jitendra-malik) | University Courses | Comprehensive machine learning course from renowned professors at UC Berkeley, covering fundamental algorithms, deep learning models, and real-world applications. |\n| 63 | [Deep Reinforcement Learning](https://getvm.io/tutorials/cs-285-deep-reinforcement-learning-uc-berkeley) | University Courses | Dive into the latest advancements in deep reinforcement learning with hands-on experience and expert guidance from UC Berkeley's CS 285 course. |\n| 64 | [Advanced Deep Learning](https://getvm.io/tutorials/advanced-deep-learning-reinforcement-learning-ucl) | University Courses | Expand your knowledge of deep learning and reinforcement learning with this comprehensive course taught by renowned experts from University College London. |\n| 65 | [Machine Learning](https://getvm.io/tutorials/csx824ecex242-machine-learning-bert-huang-fall-2015-virginia-tech) | University Courses | Comprehensive coverage of machine learning algorithms and techniques, hands-on experience with real-world datasets and projects, taught by an expert in the field, Bert Huang. |\n| 66 | [Mediterranean Machine Learning Summer School 2023](https://getvm.io/tutorials/mediterranean-machine-learning-summer-school-2023) | University Courses | Comprehensive machine learning program with hands-on workshops, expert instruction, and networking opportunities in a scenic Mediterranean location. |\n| 67 | [Microsoft Research](https://getvm.io/tutorials/microsoft-research-machine-learning-course) | University Courses | Explore the comprehensive Microsoft Research machine learning course, covering supervised, unsupervised, deep, and reinforcement learning techniques. Presented by leading experts. |\n| 68 | [Advanced Introduction to Machine Learning](https://getvm.io/tutorials/10715-advanced-introduction-to-machine-learning) | University Courses | Comprehensive coverage of advanced machine learning concepts and algorithms, hands-on experience with real-world projects, and exposure to the latest advancements in deep learning and reinforcement learning. |\n| 69 | [Deep Reinforcement Learning](https://getvm.io/tutorials/cs294-112-deep-reinforcement-learning-sp17) | University Courses | Comprehensive course on deep reinforcement learning, taught by a leading expert. Hands-on assignments and projects to apply the concepts. |\n| 70 | [Deep Reinforcement Learning Bootcamp](https://getvm.io/tutorials/deep-rl-bootcamp-berkeley-aug-2017) | University Courses | Comprehensive deep RL course led by renowned experts from Berkeley, covering Markov Decision Processes, DQN, policy gradients, and more. Hands-on demos and code examples. |\n| 71 | [Deep Learning for Natural Language Processing](https://getvm.io/tutorials/deep-learning-for-natural-language-processing-2017-oxford-university) | University Courses | Explore the latest advancements in deep learning for natural language processing, including speech recognition, language translation, and text analysis. Gain practical experience in implementing these cutting-edge techniques. |\n| 72 | [Natural Language Processing with Deep Learning](https://getvm.io/tutorials/cs-224n-natural-language-processing-with-deep-learning-stanford-university) | University Courses | Gain a thorough introduction to cutting-edge neural networks for natural language processing and the latest advancements in large language models. |\n| 73 | [Recent Advances on Foundation Models](https://getvm.io/tutorials/cs-886-recent-advances-on-foundation-models-winter-2024-university-of-waterloo) | University Courses | Explore the latest developments in foundation models, a powerful machine learning technology, through this graduate-level course at the University of Waterloo. |\n| 74 | [Autonomous Vehicle System Engineering](https://getvm.io/tutorials/uiuc-cs-588-autonomous-vehicle-system-engineering-fall-2021-by-david-forsyth) | University Courses | Comprehensive course on autonomous vehicle design, covering deep learning, computer vision, and control theory. Hands-on projects and simulations for practical experience. |\n| 75 | [DeepRob Winter 2023](https://getvm.io/tutorials/deeprob-winter-2023-university-of-michigan) | University Courses | Comprehensive course on deep learning and its applications in robotics, offered by the University of Michigan on YouTube. Covers the latest advancements and provides hands-on experience. |\n| 76 | [Speech Recognition and Understanding](https://getvm.io/tutorials/cmu-11-751-18-781-speech-recognition-and-understanding-fall-2022-by-shinji-watanabe) | University Courses | Comprehensive introduction to speech recognition and understanding, covering theoretical foundations and practical applications. Taught by Prof. Shinji Watanabe. |\n\n## More\n\n- [Free JavaScript Resources](https://github.com/getvmio/free-javascript-resources)\n- [Free HTML Resources](https://github.com/getvmio/free-html-resources)\n- [Free R Resources](https://github.com/getvmio/free-r-resources)\n- [Free Java Resources](https://github.com/getvmio/free-java-resources)\n- [Free Neural Networks Resources](https://github.com/getvmio/free-neural-networks-resources)\n- [Free Natural Language Processing Resources](https://github.com/getvmio/free-natural-language-processing-resources)\n- [Free Computer Science Resources](https://github.com/getvmio/free-computer-science-resources)\n- [Free React Resources](https://github.com/getvmio/free-react-resources)\n- [Free Security Resources](https://github.com/getvmio/free-security-resources)\n- [Free Node.js Resources](https://github.com/getvmio/free-node-js-resources)\n- [Free PyTorch Resources](https://github.com/getvmio/free-pytorch-resources)\n- [Free Computer Architecture Resources](https://github.com/getvmio/free-computer-architecture-resources)\n- [Free Functional Programming Resources](https://github.com/getvmio/free-functional-programming-resources)\n- [Free Operating System Resources](https://github.com/getvmio/free-operating-system-resources)\n- [Free Cryptography Resources](https://github.com/getvmio/free-cryptography-resources)\n- [Free Compiler Resources](https://github.com/getvmio/free-compiler-resources)\n- [Free Blockchain Resources](https://github.com/getvmio/free-blockchain-resources)\n- [Free SQL Resources](https://github.com/getvmio/free-sql-resources)\n- [Free Python Resources](https://github.com/getvmio/free-python-resources)\n- [Free Unix Resources](https://github.com/getvmio/free-unix-resources)\n- [Free Programming Resources](https://github.com/getvmio/free-programming-resources)\n- [Free Object-Oriented Programming Resources](https://github.com/getvmio/free-object-oriented-programming-resources)\n- [Free CSS Resources](https://github.com/getvmio/free-css-resources)\n- [Free Machine Learning Resources](https://github.com/getvmio/free-machine-learning-resources)\n- [Free Web Development Resources](https://github.com/getvmio/free-web-development-resources)\n- [Free Shell Scripting Resources](https://github.com/getvmio/free-shell-scripting-resources)\n- [Free Rust Resources](https://github.com/getvmio/free-rust-resources)\n- [Free Haskell Resources](https://github.com/getvmio/free-haskell-resources)\n- [Free Software Development Resources](https://github.com/getvmio/free-software-development-resources)\n- [Free Data Science Resources](https://github.com/getvmio/free-data-science-resources)\n- [Free Git Resources](https://github.com/getvmio/free-git-resources)\n- [Free Networking Resources](https://github.com/getvmio/free-networking-resources)\n- [Free Game Development Resources](https://github.com/getvmio/free-game-development-resources)\n- [Free TensorFlow 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