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Awesome-Deep-Learning

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Deep Learning resources

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# Awesome Deep Learning
This list contains some of the most famous and free resources for deep learning. <br>
Note: It is work in progress. If you like the work, star the repo to show support. <br><br>
Created with ❤️ by [Siddharth](https://github.com/Siddharth1India)<br><hr>
Find me on [Twitter](https://twitter.com/Siddharth1India)

## Deep Learning
1. [Stanford CS230: Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
2. [Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
3. [MIT 6.S191: Introduction to Deep Learning](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
4. [Deep Learning Course (NYU, Spring 2020)](https://www.youtube.com/playlist?list=PL80I41oVxglKcAHllsU0txr3OuTTaWX2v)
5. [Deep Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
6. [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
7. [Practical Deep Learning for Coders 2022](https://www.youtube.com/playlist?list=PLfYUBJiXbdtSvpQjSnJJ_PmDQB_VyT5iU)
8. [Practical Deep Learning 2022 Part 2](https://www.youtube.com/playlist?list=PLfYUBJiXbdtRUvTUYpLdfHHp9a58nWVXP)
9. [Neural networks 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
10. [Neural Networks from Scratch in Python](https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3)
11. [Neural Networks - The Nature of Code](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh)

## Computer Vision
1. [Stanford Computer Vision](https://www.youtube.com/playlist?list=PLf7L7Kg8_FNxHATtLwDceyh72QQL9pvpQ)
2. [Computer Vision — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij35L2MHGzis8AEHz7mg381_)
3. [Deep Learning for Computer Vision](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
4. [Deep Learning for Computer Vision - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_PI-rIz4O1jEgffhJU9GgG)
5. [Computer Vision and Image Processing - Fundamentals and Applications](https://www.youtube.com/playlist?list=PLwdnzlV3ogoVsma5GmBSsgJM6gHv1QoAo)
6. [MIT 6.801 Machine Vision, Fall 2020](https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O)
7. [Self-Driving Cars Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOeY0lkVCIVafdGFOTi45amq)

## Natural Language Processing
1. [Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)
2. [Natural Language Processing | University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)
3. [NLP with SpaCy](https://youtu.be/dIUTsFT2MeQ)
4. [NLP Tutorials](https://www.youtube.com/playlist?list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX)
5. [Natural Language Processing](https://www.youtube.com/playlist?list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm)
6. [Stanford CS224N: NLP with Deep Learning | 2023](https://youtube.com/playlist?list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4&si=FIiU8-PxUobB8ltg)
7. [Stanford XCS224U: Natural Language Understanding | 2023](https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp&si=FhV9UlGmigDiY5fF)

## Large Language Models and Diffusion
1. [Building Systems with the ChatGPT API](https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/)
2. [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
3. [LangChain for LLM Application Development](https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/)
4. [How Diffusion Models Work](https://www.deeplearning.ai/short-courses/how-diffusion-models-work/)
5. [Stanford CS25 - Transformers United](https://youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)
6. [Hugging Face Course](https://youtube.com/playlist?list=PLo2EIpI_JMQvWfQndUesu0nPBAtZ9gP1o)
7. [Let's build GPT: from scratch, in code, spelled out.](https://youtu.be/kCc8FmEb1nY)
8. [LangChain](https://youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr)
9. [Large Language Models](https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw)
10. [Text 2 Video](https://youtube.com/playlist?list=PLVEEucA9MYhNKfyrQdWVf8DEXabj84ZpD)
11. [MidJourney Tutorials](https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw)
12. [AI Image Generation Tutorials](https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z)

## Machine Laerning on Edge devices / Embedded Machine Learning
1. [TensorFlow Lite for Edge Devices - Tutorial](https://youtu.be/OJnaBhCixng)
2. [EfficientML.ai lectures](https://youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB&si=2RphIoXBcVkaxSeg)

## Framework tutorials
1. [PyTorch tutorials](https://youtu.be/V_xro1bcAuA)
2. [Tensorflow tutorials](https://www.youtube.com/playlist?list=PL6vjgQ2-qJFfU2vF6-lG9DlSa4tROkzt9)
3. [JAX crash course](https://youtu.be/juo5G3t4qAo)
4. [fastai v2 code walk-thrus](https://www.youtube.com/playlist?list=PLfYUBJiXbdtSWRCYUHh-ThVCC39bp5yiq)

## Random watch
1. [ThePrimeagen](https://www.youtube.com/@ThePrimeagen)
2. [Yannic Kilcher](https://www.youtube.com/@YannicKilcher)
3. [Weights & Biases](https://www.youtube.com/@WeightsBiases)
4. [Two Minute Papers](https://www.youtube.com/@TwoMinutePapers)
5. [Valerio Velardo - The Sound of AI](https://www.youtube.com/@ValerioVelardoTheSoundofAI)
6. [StatQuest with Josh Starmer](https://www.youtube.com/@statquest)
7. [Sentdex](https://www.youtube.com/@sentdex)
8. [Nicholas Renotte](https://www.youtube.com/@NicholasRenotte)
9. [Lex Fridman](https://www.youtube.com/@lexfridman)
10. [george hotz archive](https://www.youtube.com/@geohotarchive)
11. [DataTalksClub](https://www.youtube.com/@DataTalksClub)
12. [Daniel Bourke](https://www.youtube.com/@mrdbourke)
13. [1littlecoder](https://www.youtube.com/@1littlecoder)
14. [Abhishek Thakur](https://www.youtube.com/@abhishekkrthakur)
15. [Machine Learning Street Talk](https://www.youtube.com/@MachineLearningStreetTalk)
16. [Computerphile](https://www.youtube.com/@Computerphile)
17. [3Blue1Brown](https://www.youtube.com/@3blue1brown)
18. [Chai Time Data Science](https://www.youtube.com/@ChaiTimeDataScience)

# LICENSE
MIT

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=Siddharth1India/Awesome-Deep-Learning&type=Date)](https://star-history.com/#Siddharth1India/Awesome-Deep-Learning&Date)

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