Locally run an Instruction-Tuned Chat-Style LLM

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

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

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

Robust Speech Recognition via Large-Scale Weak Supervision

Streaming transcriber with whisper

Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

Model API for GALACTICA

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A free and open source code snippets manager for developers

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

You like pytorch? You like micrograd? You love tinygrad! ❤️

magic-trace collects and displays high-resolution traces of what a process is doing

Memray is a memory profiler for Python

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

A powerful little TUI framework 🏗

Restoring and attributing ancient texts using deep neural networks

GLIDE: a diffusion-based text-conditional image synthesis model

[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

Analysing and storing raw data from r/Place 2022 event

🏅 KG Inductive Link Prediction Challenge (ILPC) 2022

Pytorch Lightning code guideline for conferences

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

JAX - A curated list of resources https://github.com/google/jax

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Connect to Google Colab using SSH

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!