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🦜🔗 Build context-aware reasoning applications
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python Data Science Handbook: full text in Jupyter Notebooks
12 Weeks, 24 Lessons, AI for All!
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
Your new Mentor for Data Science E-Learning.
Companion webpage to the book "Mathematics For Machine Learning"
Foundational Models for State-of-the-Art Speech and Text Translation
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Examples and guides for using the Gemini API
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
Official inference library for Mistral models
An open-source, low-code machine learning library in Python
Understanding Deep Learning - Simon J.D. Prince
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Flax is a neural network library for JAX that is designed for flexibility.
Create delightful software with Jupyter Notebooks
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Code repository for O'Reilly book
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
IPython Parallel: Interactive Parallel Computing in Python
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
