Alternatives and similar repositories for gsdm

Users that are interested in gsdm are comparing it to the libraries listed below

• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• ruqizhang / discrete-langevin
  ☆38Updated 3 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆90Updated 3 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆56Updated 2 years ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆76Updated 2 months ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆61Updated last year
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆16Updated last month
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• trishullab / near
  ☆24Updated 4 years ago
• GFNOrg / gfn-diffusion
  ☆34Updated 5 months ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆40Updated 4 years ago
• priyankjaini / discFlowMH
  Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
  ☆11Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• Silent-Zebra / twisted-smc-lm
  ☆31Updated 5 months ago
• ling-pan / GAFN
  ☆25Updated last year
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆206Updated last year
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆243Updated 6 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆24Updated last year
• AllanYangZhou / universal_neural_functional
  ☆52Updated last year
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆47Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago