Alternatives and similar repositories for energy-discrepancy

Users that are interested in energy-discrepancy are comparing it to the libraries listed below

• hankook / CLEL

  View on GitHub
  ☆17Mar 2, 2023Updated 2 years ago
• bpucla / latent-space-EBM-prior

  View on GitHub
  ☆37Oct 20, 2020Updated 5 years ago
• sndnyang / JEMPP

  View on GitHub
  PyTorch implementation of JEM++: Improved Techniques for Training JEM
  ☆13Mar 11, 2023Updated 2 years ago
• matbun / EBM--Generative-Energy-Based-Modeling

  View on GitHub
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Jul 6, 2021Updated 4 years ago
• htlambley / functional_autoencoders

  View on GitHub
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆31Dec 3, 2025Updated 2 months ago
• vdeborto / cdsb

  View on GitHub
  ☆25Jul 1, 2022Updated 3 years ago
• franciscovargas / GP_Sinkhorn

  View on GitHub
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23May 1, 2022Updated 3 years ago
• Ending2015a / toy_gradlogp

  View on GitHub
  Some toy examples of score matching algorithms written in PyTorch
  ☆55Dec 21, 2021Updated 4 years ago
• tlacombe / topologicalUncertainty

  View on GitHub
  ☆11Feb 14, 2022Updated 4 years ago
• topolearn / topo-clustering

  View on GitHub
  Fast Topological Clustering with Wasserstein Distance (ICLR 2022)
  ☆12Jun 24, 2022Updated 3 years ago
• volagold / nce

  View on GitHub
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Mar 2, 2025Updated 11 months ago
• wgrathwohl / VERA

  View on GitHub
  ☆64Feb 7, 2024Updated 2 years ago
• FabianAltekrueger / patchNR

  View on GitHub
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Feb 22, 2024Updated last year
• DenisBless / variational_sampling_methods

  View on GitHub
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆46Dec 9, 2024Updated last year
• tijana-zrnic / active-inference

  View on GitHub
  ☆18Mar 6, 2024Updated last year
• ruqizhang / discrete-langevin

  View on GitHub
  ☆42Sep 20, 2022Updated 3 years ago
• khainb / EBSW

  View on GitHub
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆18Feb 21, 2025Updated 11 months ago
• jeremyhengjm / DiffusionBridge

  View on GitHub
  ☆15Feb 23, 2025Updated 11 months ago
• darioShar / DLPM

  View on GitHub
  ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)
  ☆27Feb 10, 2025Updated last year
• take-koshizuka / NLSB

  View on GitHub
  ☆22Feb 4, 2025Updated last year
• c-hofer / graph_filtration_learning

  View on GitHub
  ☆22Mar 10, 2021Updated 4 years ago
• google-deepmind / annealed_flow_transport

  View on GitHub
  ☆52Feb 27, 2023Updated 2 years ago
• SubsetSelection / EquiVSet

  View on GitHub
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆21Dec 23, 2022Updated 3 years ago
• justkolesov / Wasserstein1Benchmark

  View on GitHub
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Sep 9, 2024Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers

  View on GitHub
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Jul 4, 2025Updated 7 months ago
• ngushchin / EntropicOTBenchmark

  View on GitHub
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Mar 21, 2024Updated last year
• launchnlp / BOLT

  View on GitHub
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆22Sep 7, 2023Updated 2 years ago
• IBM / wasserstein-barycenters

  View on GitHub
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆23Nov 18, 2019Updated 6 years ago
• ruiqigao / recovery_likelihood

  View on GitHub
  ☆53Mar 17, 2021Updated 4 years ago
• ghliu / SB-FBSDE

  View on GitHub
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆88Feb 22, 2022Updated 3 years ago
• andrew-cr / tauLDR

  View on GitHub
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆58Apr 18, 2024Updated last year
• joneswack / dp-rfs

  View on GitHub
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Jul 13, 2024Updated last year
• timgaripov / compositional-sculpting

  View on GitHub
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Oct 2, 2023Updated 2 years ago
• lucidrains / insertion-deletion-ddpm

  View on GitHub
  Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models
  ☆30May 31, 2022Updated 3 years ago
• iamalexkorotin / Wasserstein2Barycenters

  View on GitHub
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆33Jun 17, 2022Updated 3 years ago
• da03 / Residual-EBM

  View on GitHub
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆26Apr 27, 2021Updated 4 years ago
• sbyebss / variational_wgf

  View on GitHub
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Oct 17, 2022Updated 3 years ago
• GiulsLu / Sinkhorn-Barycenters

  View on GitHub
  Sinkhorn Barycenters via Frank-Wolfe algorithm
  ☆27Feb 3, 2020Updated 6 years ago
• luoyan407 / congruency

  View on GitHub
  [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
  ☆23Jan 30, 2020Updated 6 years ago