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

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

Data validation using Python type hints

State-of-the-Art Text Embeddings

Static Type Checker for Python

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A PyTorch-based Speech Toolkit

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

A Grammar of Graphics for Python

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Beautiful visualizations of how language differs among document types.

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

TODS: An Automated Time-series Outlier Detection System

LLM vulnerability scanner

Allows you to maintain all the necessary cruft for packaging and building projects separate from the code you intentionally write. Built on-top of, and fully compatible with, CookieCutter.

🧹 Python package for text cleaning

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

ML-Ensemble – high performance ensemble learning

All-in-one text de-duplication

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.