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https://github.com/getvmio/free-pytorch-resources

[PyTorch Free Resources] This repository collects 16 of free resources for PyTorch. 🔥 Ignite your machine learning projects with our PyTorch Lab! This repository offers a wealth of free PyTorch resources and an interactive online Playground. Ideal for AI researchers, data scientists, and develope...
https://github.com/getvmio/free-pytorch-resources

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[PyTorch Free Resources] This repository collects 16 of free resources for PyTorch. 🔥 Ignite your machine learning projects with our PyTorch Lab! This repository offers a wealth of free PyTorch resources and an interactive online Playground. Ideal for AI researchers, data scientists, and develope...

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README 

        
# PyTorch Free Resources



🔥 Ignite your machine learning projects with our PyTorch Lab! This repository offers a wealth of free PyTorch resources and an interactive online Playground. Ideal for AI researchers, data scientists, and developers diving into the world of deep learning and neural networks.



## Resources



|   Index | Name                                                                                                                                                    | Category            | Description                                                                                                                                                                                       |

|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|

|       1 | [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. |

|       2 | [Free and Open Machine Learning](https://getvm.io/tutorials/free-and-open-machine-learning)                                                             | Technical Tutorials | Discover the power of open-source machine learning with this comprehensive guide, covering key concepts, architecture, and FOSS tools for practical business applications.                        |

|       3 | [Deep Learning for Coders with Fastai and PyTorch](https://getvm.io/tutorials/deep-learning-for-coders-with-fastai-and-pytorch)                         | Technical Tutorials | Comprehensive introduction to deep learning using the fastai library and PyTorch, suitable for beginners and experienced coders.                                                                  |

|       4 | [Deep Learning for Computer Vision](https://getvm.io/tutorials/deep-learning-for-computer-vision-university-of-michigan)                                | University Courses  | Comprehensive introduction to deep learning techniques for computer vision tasks, including image classification, object detection, and segmentation.                                             |

|       5 | [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.                                             |

|       6 | [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.                       |

|       7 | [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.                                |

|       8 | [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.                                        |

|       9 | [Intro to Deep Learning & 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.                                                   |

|      10 | [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.                             |

|      11 | [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.                         |

|      12 | [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.                                                      |

|      13 | [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.                     |

|      14 | [Deep Reinforcement Learning](https://getvm.io/tutorials/nus-cs-6101-deep-reinforcement-learning)                                                       | University Courses  | Explore the fundamentals of deep reinforcement learning, including algorithms, frameworks, and practical applications in areas like game playing, robotics, and resource management.              |

|      15 | [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.                                                |

|      16 | [Code-First Intro to Natural Language Processing](https://getvm.io/tutorials/fastai-code-first-intro-to-natural-language-processing)                    | University Courses  | Dive into natural language processing with this hands-on, practical NLP course from the renowned fast.ai team. Learn fundamental NLP concepts and techniques using popular open-source libraries. |



## More



- [Free JavaScript Resources](https://github.com/getvmio/free-javascript-resources)

- [Free HTML Resources](https://github.com/getvmio/free-html-resources)

- [Free R Resources](https://github.com/getvmio/free-r-resources)

- [Free Java Resources](https://github.com/getvmio/free-java-resources)

- [Free Neural Networks Resources](https://github.com/getvmio/free-neural-networks-resources)

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- [Free Computer Science Resources](https://github.com/getvmio/free-computer-science-resources)

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- [Free Programming Resources](https://github.com/getvmio/free-programming-resources)

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- [Free TensorFlow Resources](https://github.com/getvmio/free-tensorflow-resources)

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- [Free Robotics Resources](https://github.com/getvmio/free-robotics-resources)

- [Free Computer Vision Resources](https://github.com/getvmio/free-computer-vision-resources)

- [Free Deep Learning Resources](https://github.com/getvmio/free-deep-learning-resources)

- [Free Cloud Computing Resources](https://github.com/getvmio/free-cloud-computing-resources)

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