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.
JAX/Haiku implementation of "Auction Learning as a Two-Player Game"
updated at Dec. 13, 2023, 10:35 a.m.
Loopy belief propagation for factor graphs on discrete variables, in JAX!
updated at Jan. 4, 2024, 4:58 p.m.
Composable kernels for scikit-learn implemented in JAX.
updated at Feb. 20, 2024, 4:30 p.m.
Normalizing Flows using JAX
updated at March 3, 2024, 10:16 p.m.
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
updated at March 18, 2024, 10:07 p.m.
Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
updated at March 28, 2024, 10:26 a.m.
A Python package of computer vision models for the Equinox ecosystem.
updated at March 30, 2024, 9:12 p.m.
How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datasets).
updated at March 31, 2024, 6:02 p.m.
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
updated at April 3, 2024, 12:46 p.m.
A selection of neural network models ported from torchvision for JAX & Flax.
updated at April 11, 2024, 2:03 p.m.
Reimplementation of the UniRep protein featurization model.
updated at April 14, 2024, 12:26 a.m.
Accelerated Quality-Diversity
updated at April 16, 2024, 8:40 a.m.
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
updated at April 22, 2024, 11:11 a.m.