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

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

State-of-the-Art Text Embeddings

Mamba SSM architecture

Convert Machine Learning Code Between Frameworks

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A resource for learning about Machine learning & Deep Learning

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

A system for quickly generating training data with weak supervision

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

Noto CJK fonts

MTEB: Massive Text Embedding Benchmark

A library for mechanistic interpretability of GPT-style language models

A JAX research toolkit for building, editing, and visualizing neural networks.

Easily serialize Data Classes to and from JSON

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unita…

Training Sparse Autoencoders on Language Models

Automating Releases via SemVer and Commit Message Conventions

A platform for managing machine learning experiments

Locating and editing factual associations in GPT (NeurIPS 2022)

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

A collection of tools for manipulating and analyzing SVG Path objects and Bezier curves.

Open-source release accompanying Gao et al. 2025

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.