Part 2 of the code for the NeurIPS 2021 paper "Learning Generalized Gumbel-max Causal Mechanisms"
updated at Feb. 10, 2023, 9:28 a.m.
Loopy belief propagation for factor graphs on discrete variables, in JAX!
updated at Jan. 4, 2024, 4:58 p.m.
Normalizing Flows using JAX
updated at March 3, 2024, 10:16 p.m.
A selection of neural network models ported from torchvision for JAX & Flax.
updated at April 11, 2024, 2:03 p.m.
Accelerated Quality-Diversity
updated at April 16, 2024, 8:40 a.m.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
updated at April 27, 2024, 9:13 p.m.
Unofficial JAX implementations of deep learning research papers
updated at April 29, 2024, 12:39 a.m.
Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
updated at May 1, 2024, 8:11 p.m.
A Python package of computer vision models for the Equinox ecosystem.
updated at May 8, 2024, 8:14 p.m.
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
updated at May 9, 2024, 12:33 p.m.