An experimental open-source attempt to make GPT-4 fully autonomous.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Improve prompts for e.g. GPT3 and GPT-J using templates and hyperparameter optimization.

P2P Docker registry capable of distributing TBs of data in seconds

A latent text-to-image diffusion model

Automatically activate a conda environment when entering a folder with an environment.yml file

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Data augmentation for NLP

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Line-granularity, thread-aware deterministic and statistic pure-python profiler

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

LAnguage Model Analysis

Port of Google's language-detection library to Python.

Official Stanford NLP Python Library for Many Human Languages

Convai2 submission.

Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.

A material ui next datepicker, demo on

Numpy main repository

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.