the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

View the Project on GitHub ritchieng/the-incredible-pytorch


This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.

Table Of Contents

  1. Tabular Data
  2. Tutorials
  3. Visualization
  4. Explainability
  5. Object Detection
  6. Long-Tailed / Out-of-Distribution Recognition
  7. Energy-Based Learning
  8. Missing Data
  9. Architecture Search
  10. Optimization
  11. Quantization
  12. Quantum Machine Learning
  13. Neural Network Compression
  14. Facial, Action and Pose Recognition
  15. Super resolution
  16. Synthetesizing Views
  17. Voice
  18. Medical
  19. 3D Segmentation, Classification and Regression
  20. Video Recognition
  21. Recurrent Neural Networks (RNNs)
  22. Convolutional Neural Networks (CNNs)
  23. Segmentation
  24. Geometric Deep Learning: Graph & Irregular Structures
  25. Sorting
  26. Ordinary Differential Equations Networks
  27. Multi-task Learning
  28. GANs, VAEs, and AEs
  29. Unsupervised Learning
  30. Adversarial Attacks
  31. Style Transfer
  32. Image Captioning
  33. Transformers
  34. Similarity Networks and Functions
  35. Reasoning
  36. General NLP
  37. Question and Answering
  38. Speech Generation and Recognition
  39. Document and Text Classification
  40. Text Generation
  41. Translation
  42. Sentiment Analysis
  43. Deep Reinforcement Learning
  44. Deep Bayesian Learning and Probabilistic Programmming
  45. Spiking Neural Networks
  46. Anomaly Detection
  47. Regression Types
  48. Time Series
  49. Synthetic Datasets
  50. Neural Network General Improvements
  51. DNN Applications in Chemistry and Physics
  52. New Thinking on General Neural Network Architecture
  53. Linear Algebra
  54. API Abstraction
  55. Low Level Utilities
  56. PyTorch Utilities
  57. PyTorch Video Tutorials
  58. Datasets
  59. Community
  60. Links to This Repository
  61. To be Classified
  62. Contributions

1. Tabular Data

2. Tutorials

3. Visualization

4. Explainability

5. Object Detection

6. Long-Tailed / Out-of-Distribution Recognition

7. Energy-Based Learning

8. Missing Data

10. Optimization

11. Quantization

12. Quantum Machine Learning

13. Neural Network Compression

14. Facial, Action and Pose Recognition

15. Super resolution

16. Synthetesizing Views

17. Voice

18. Medical

19. 3D Segmentation, Classification and Regression

20. Video Recognition

21. Recurrent Neural Networks (RNNs)

22. Convolutional Neural Networks (CNNs)

23. Segmentation

24. Geometric Deep Learning: Graph & Irregular Structures

25. Sorting

26. Ordinary Differential Equations Networks

27. Multi-task Learning

28. GANs, VAEs, and AEs

29. Unsupervised Learning

30. Adversarial Attacks

31. Style Transfer

32. Image Captioning

33. Transformers

34. Similarity Networks and Functions

35. Reasoning

36. General NLP

37. Question and Answering

38. Speech Generation and Recognition

39. Document and Text Classification

40. Text Generation

41. Translation

42. Sentiment Analysis

43. Deep Reinforcement Learning

44. Deep Bayesian Learning and Probabilistic Programmming

45. Spiking Neural Networks

46. Anomaly Detection

47. Regression Types

48. Time Series

49. Synthetic Datasets

50. Neural Network General Improvements

51. DNN Applications in Chemistry and Physics

52. New Thinking on General Neural Network Architecture

53. Linear Algebra

54. API Abstraction

55. Low Level Utilities

56. PyTorch Utilities

57. PyTorch Video Tutorials

58. Datasets

59. Community

61. To be Classified

62. Contributions

Do feel free to contribute!

You can raise an issue or submit a pull request, whichever is more convenient for you. The guideline is simple: just follow the format of the previous bullet point.