Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A latent text-to-image diffusion model
Making large AI models cheaper, faster and more accessible
DSPy: The framework for programming—not prompting—language models
Highcharts JS, the JavaScript charting framework
Keras implementations of Generative Adversarial Networks.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of Graph Convolutional Networks in TensorFlow
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Reference models and tools for Cloud TPUs.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
MTEB: Massive Text Embedding Benchmark
Complete installer for Automatic1111's infamous Stable Diffusion WebUI
Realtime Diffusion, using Automatic1111 Stable Diffusion API
A benchmark for LLMs on complicated tasks in the terminal
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
Training Sparse Autoencoders on Language Models
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
Automate the application process on LinkedIn