FAMD Project

A simple, performant and scalable Jax LLM!

Public repo for HF blog posts

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

Enabling PyTorch on Google TPU

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

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

A flexible, high-performance serving system for machine learning models

Ongoing research training transformer language models at scale, including: BERT & GPT-2

A tensor-aware point-to-point communication primitive for machine learning

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

Trained and compiled TF Lite models, and other testing data for Coral devices

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ATOM3D: tasks on molecules in three dimensions

Codebase for Cormorant Neural Networks

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Official Repo for Google Cloud AI Platform

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

The ultimate Vim configuration (vimrc)