A guidance language for controlling large language models.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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

A scikit-learn compatible neural network library that wraps PyTorch

A self-organizing file system with llama 3

Acceptance rates for the major AI conferences

Probabilistic reasoning and statistical analysis in TensorFlow

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Massively parallel rigidbody physics simulation on accelerator hardware.

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

Fast, general, and tested differentiable structured prediction in PyTorch

A pedagogical implementation of Autograd

A 15TB Collection of Physics Simulation Datasets

Named Tensor implementation for Torch

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Official codebase for the paper "Beyond A* Better Planning with Transformers via Search Dynamics Bootstrapping".

GEOM: Energy-annotated molecular conformations

Code release for Learning with Opponent-Learning Awareness and variations.

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).

A Tutorial for Diffusion Models

Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.