23 Open Source AI Libraries for 2023

AI may be the top field to get into in 2023. Here are 23 open source libraries to get you started

Movie: I, Robot

Disclaimer: I’m a Python guy, so most of these are in Python. These are listed in order of popularity according to GitHub Stars as of 5/11/23. If you have any that you feel strongly about that I missed, please put them in the comments!

1. Auto-GPT — an open source LLM framework for autonomous agents
2. OpenCV — an open source computer vision tool
3. PyTorch — an open source machine learning framework
4. Sci-Kit Learn — an open source machine learning framework
5. LangChain — an open source framework for LLMs
6. Whisper — an open source speech recognition tool from OpenAI
7. Ray — an open source distributed system tool
8. JARVIS- an open source LLM agent framework from Microsoft
9. Mini-GPT 4 — an open source miniature version of GPT 4 (written in Go)
10. Milvus — an open source scalable, distributed backend vector database
11. LlamaIndex — also an open source framework for LLMs
12. GPT3 — an open source LLM that eventually evolved into ChatGPT
13. ydata-profiling — an open source data profiling tool
14. Dolly — an open source LLM from Databricks
15. Haystack — an open source NLP pipeline from Deepset
16. Ultralytics/YOLOv8 — an open source computer vision tool
17. privateGPT — an open source AI agent for data privacy
18. RWKV — an open source RNN, smaller than LLMs close in performance
19. LoRa — an open source fine tuning tool for diffusion models
20. Rustformers LLM — technically this is simply titled “LLM”, open source framework to run LLM inference on the CPU (written in Rust)
21. LlaVA — an open source multimodel large model
22. Kangas — an open source data exploration tool
23. Phoenix — an open source data visualization and profiling tool

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