tristandeleu/jax-jsp-gfn tristandeleu/jax-jsp-gfn

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
  • Created over 1 year ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
tristandeleu/jax-jsp-gfn
github

tristandeleu

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"

More Repositories

1

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Python
1,981
star
2

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Python
815
star
3

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks
Python
419
star
4

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
Python
227
star
5

jax-dag-gflownet

Code for "Bayesian Structure Learning with Generative Flow Networks"
Python
70
star
6

jax-comln

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
Python
27
star
7

jax-meta-learning

A collection of meta-learning algorithms in Jax
Python
23
star
8

pytorch-structured-sparsity

Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch
Python
17
star
9

switching-kalman-filter

Python implementation of the Switching Kalman Filter
Jupyter Notebook
16
star
10

neural-gpu

Theano implementation of the Neural GPU
Python
15
star
11

metax

A collection of extensions for meta-learning in JAX
Python
8
star
12

gfn-maxent-rl

Comparison between GFlowNets & Maximum Entropy RL
Python
3
star
13

synergies-disentanglement-sparsity

Official code for the paper "Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning" (ICML 2023)
Python
2
star