Pierre de Lacaze's starred repositories
client-python
Python client library for Mistral AI platform
llama4micro
A "large" language model running on a microcontroller
Llama-2-Open-Source-LLM-CPU-Inference
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
graph-data-science-client
A Python client for the Neo4j Graph Data Science (GDS) library
chatgpt-shell
ChatGPT and DALL-E Emacs shells + Org babel 🦄 + a shell maker for other providers
ColossalAI
Making large AI models cheaper, faster and more accessible
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
kubernetes-learning-path
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
openai-cookbook
Examples and guides for using the OpenAI API
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
aima-exercises
Exercises for the book Artificial Intelligence: A Modern Approach
tensorflow
An Open Source Machine Learning Framework for Everyone
exhibitions
The Museum of Modern Art (MoMA) exhibitions data
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
wp-twentyseventeen
hakyll version of this popular wordpress theme. still a work in progress.