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…

Inference code for CodeLlama models

Rust packages and for Toybox; separately versioned from Python code.

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Lightweight python library for launching experiments and tuning hyperparameters, either locally or on a cluster

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Self-contained implementation of non-convex optimization algorithms in python. Steepest Descent, Conjugate Gradient, Newton's Method, Quasi-newton (BFGS), l-BFGS

A customisable 3D platform for agent-based AI research

Benchmarks for popular CNN models

Torch-twrl is a package that enables reinforcement learning in Torch.

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Modified PR2 MoveIt! Config package compatible with nasa_robot_teleop and affordance templates

Bridge node to handle gripper service commands from Affordance Templates and nasa-robot-teleop packages

MoveIt! wrapper/helper package

Programming by demonstration for the PR2