Alternatives and similar repositories for mutinfo

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

• MustaphaBounoua / minde
  Official implementation of MINDE: Mutual Information Neural Diffusion Estimation
  ☆20Updated 6 months ago
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆21Updated last year
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆38Updated 3 years ago
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆20Updated 3 years ago
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆15Updated last year
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆53Updated last month
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆95Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• leieric / NERD-RCC
  Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
  ☆12Updated last year
• benrhodes26 / tre_code
  ☆24Updated 4 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago
• malbergo / stochastic-interpolants
  ☆180Updated last year
• necludov / wl-mechanics
  ☆31Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 3 years ago
• darioShar / DLPM
  ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)
  ☆21Updated 8 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆26Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆72Updated 11 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆87Updated 3 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆184Updated 3 years ago
• milenagazdieva / U-NOTBarycenters
  PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)
  ☆12Updated 3 months ago
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆26Updated last month
• yiboyang / wgd
  Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  ☆19Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated 2 years ago
• activatedgeek / tight-pac-bayes
  Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022
  ☆17Updated 2 years ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆57Updated 3 months ago
• cyz-ai / neural-approx-ss-lfi
  Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models
  ☆20Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 3 years ago
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆20Updated last year