Alternatives and similar repositories for minde

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

• VanessB / mutinfo
  Mutual information estimators and benchmarks
  ☆12Updated this week
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆20Updated last year
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 4 years ago
• leieric / NERD-RCC
  Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
  ☆12Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 3 years ago
• benrhodes26 / tre_code
  ☆24Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆127Updated 3 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆88Updated last year
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆20Updated 3 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆144Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 2 years ago
• jongharyu / neural-svd
  ☆17Updated 10 months ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 8 months ago
• YangLabHKUST / DGLSB
  Deep Generative Learning via Schrödinger Bridge
  ☆24Updated 3 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆309Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• tkj516 / score_based_source_separation
  ☆11Updated last year
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆14Updated last year
• yiboyang / wgd
  Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  ☆19Updated last year
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23Updated 3 years ago
• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆69Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• MinkaiXu / Neural-Coding-IABF
  ☆12Updated 4 years ago
• ispamm / realnvp-demo-pytorch
  ☆31Updated 5 years ago
• hebbarashwin / deeppolar
  Code for "DeepPolar codes", ICML 2024
  ☆11Updated last year
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆51Updated 6 months ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆23Updated 2 years ago