Alternatives and similar repositories for gflownet-tutorials

Users that are interested in gflownet-tutorials are comparing it to the libraries listed below

• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆44Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated 6 months ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆35Updated 2 months ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆77Updated 2 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆31Updated 6 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 6 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆105Updated last month
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆68Updated 5 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆42Updated 2 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆39Updated 3 years ago
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆33Updated 3 years ago
• captain-pool / hydra-example
  ☆20Updated 3 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated 5 months ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆47Updated 6 years ago
• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated last year
• glajoie / MAT6115_Dynamical_Systems
  Support material for MAT6115, Université de Montréal, Fall 2018
  ☆28Updated last year
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• AmiiThinks / AlphaEx
  A Python Toolkit for Managing a Large Number of Experiments
  ☆31Updated last year
• ericmjl / score-models
  In which I learn about score functions and how they can be used to generate data.
  ☆16Updated last year
• Harshs27 / neural-graphical-models
  Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
  ☆30Updated 4 months ago
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆28Updated 4 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆23Updated 5 years ago
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated 2 years ago