DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Open Academic Research on Improving LLaMA to SOTA LLM

the open source embedding database

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Notebooks using the Hugging Face libraries 🤗

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The simplest way to run LLaMA on your local machine

Open Source Computer Vision Library

Code and documentation to train Stanford's Alpaca models, and generate the data.

This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

Chat with Meta's LLaMA models at home made easy

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Inference code for LLaMA models

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!