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awesome-gflownets

A curated list of resources about generative flow networks (GFlowNets).

blog

gflownet-bib

Bibtex file for related work in GFlowNet

gfn

gfn-maxent-rl

Comparison between GFlowNets & Maximum Entropy RL

gym

A toolkit for developing and comparing reinforcement learning algorithms.

jax-comln

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

jax-dag-gflownet

Code for "Bayesian Structure Learning with Generative Flow Networks"

jax-jsp-gfn

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

jax-meta-learning

A collection of meta-learning algorithms in Jax

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

metax

A collection of extensions for meta-learning in JAX

neural-gpu

Theano implementation of the Neural GPU

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-structured-sparsity

Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch

rlpyt

Reinforcement Learning in PyTorch

simpleparsing

Simple, Elegant, Typed Argument Parsing with argparse

sumu

switching-kalman-filter

Python implementation of the Switching Kalman Filter

synergies-disentanglement-sparsity

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

tips-research-mila

General tips to drive your research at Mila

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.