Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Examples and guides for using the Gemini API

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry lead…

🦜🔗 Build context-aware reasoning applications

Next RecSys Library

Google Research

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Statsmodels: statistical modeling and econometrics in Python

Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

allRank is a framework for training learning-to-rank neural models based on PyTorch.

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

A library to generate LaTeX expression from Python code.

A community-maintained Python framework for creating mathematical animations.

Rax is a Learning-to-Rank library written in JAX.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Self-Taught Data Science

What scientific programmers must know about CPUs and RAM to write fast code.

A concise syntax to describe and execute routine data analysis tasks

Flax is a neural network library for JAX that is designed for flexibility.

🎥 Matplotlib animations made easy

Folklore facts on probability distribution learning, testing, and whatever-ing

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A Python-embedded modeling language for convex optimization problems.

TGN: Temporal Graph Networks

A library of reinforcement learning components and agents

Python implementation of the S2 geometry library.

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