Alternatives and similar repositories for comp760_lecturenotes:

Users that are interested in comp760_lecturenotes are comparing it to the libraries listed below

• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆38Updated last year
• dimkal89 / rvae
  ☆38Updated 4 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆129Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆75Updated 3 years ago
• phlippe / CategoricalNF
  Official repository for "Categorical Normalizing Flows via Continuous Transformations"
  ☆56Updated 4 years ago
• vgsatorras / en_flows
  ☆60Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆54Updated 11 months ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 3 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• take-koshizuka / NLSB
  ☆19Updated 2 weeks ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆264Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆107Updated last year
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆68Updated 9 months ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆29Updated last year
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 3 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆86Updated 10 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆47Updated this week
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆31Updated 2 months ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆42Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆31Updated last year
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• ruqizhang / discrete-langevin
  ☆34Updated 2 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year