/Awesome-Deep-Learning

Deep Learning resources

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Awesome Deep Learning

This list contains some of the most famous and free resources for deep learning.
Note: It is work in progress. If you like the work, star the repo to show support.

Created with ❤️ by Siddharth

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Deep Learning

  1. Stanford CS230: Deep Learning
  2. Deep Learning — Andreas Geiger
  3. MIT 6.S191: Introduction to Deep Learning
  4. Deep Learning Course (NYU, Spring 2020)
  5. Deep Learning - IIT Madras
  6. Neural Networks: Zero to Hero
  7. Practical Deep Learning for Coders 2022
  8. Practical Deep Learning 2022 Part 2
  9. Neural networks 3Blue1Brown
  10. Neural Networks from Scratch in Python
  11. Neural Networks - The Nature of Code

Computer Vision

  1. Stanford Computer Vision
  2. Computer Vision — Andreas Geiger
  3. Deep Learning for Computer Vision
  4. Deep Learning for Computer Vision - IIT Madras
  5. Computer Vision and Image Processing - Fundamentals and Applications
  6. MIT 6.801 Machine Vision, Fall 2020
  7. Self-Driving Cars Lectures

Natural Language Processing

  1. Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
  2. Natural Language Processing | University of Michigan
  3. NLP with SpaCy
  4. NLP Tutorials
  5. Natural Language Processing
  6. Stanford CS224N: NLP with Deep Learning | 2023
  7. Stanford XCS224U: Natural Language Understanding | 2023

Large Language Models and Diffusion

  1. Building Systems with the ChatGPT API
  2. ChatGPT Prompt Engineering for Developers
  3. LangChain for LLM Application Development
  4. How Diffusion Models Work
  5. Stanford CS25 - Transformers United
  6. Hugging Face Course
  7. Let's build GPT: from scratch, in code, spelled out.
  8. LangChain
  9. Large Language Models
  10. Text 2 Video
  11. MidJourney Tutorials
  12. AI Image Generation Tutorials

Machine Laerning on Edge devices / Embedded Machine Learning

  1. TensorFlow Lite for Edge Devices - Tutorial
  2. EfficientML.ai lectures

Framework tutorials

  1. PyTorch tutorials
  2. Tensorflow tutorials
  3. JAX crash course
  4. fastai v2 code walk-thrus

Random watch

  1. ThePrimeagen
  2. Yannic Kilcher
  3. Weights & Biases
  4. Two Minute Papers
  5. Valerio Velardo - The Sound of AI
  6. StatQuest with Josh Starmer
  7. Sentdex
  8. Nicholas Renotte
  9. Lex Fridman
  10. george hotz archive
  11. DataTalksClub
  12. Daniel Bourke
  13. 1littlecoder
  14. Abhishek Thakur
  15. Machine Learning Street Talk
  16. Computerphile
  17. 3Blue1Brown
  18. Chai Time Data Science

LICENSE

MIT

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