JAX implementation of VQGAN
Statistics for this project are still being loaded, please check back later.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Attax: adversarial attacks using JAX
Multiple dispatch over abstract array types in JAX.
Minimal JAX/Flax port of `lpips` supporting `vgg16`, with pre-trained weights stored in the 🤗 Hug...
JAX implementation ViT-VQGAN
VILA - a multi-image visual language model with training, inference and evaluation recipe, deploy...
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating poin...
Implementation of N-Grammer in Flax
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tune...
GPT implementation in Flax
This project attempts to build neural network training and lightweighting cookbook including thre...
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Frechet Inception Distance in JAX
Reimplementation of the paper "Attention, Learn to Solve Routing Problems!" in jax/flax.