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
  ☆14Updated last week
• leieric / NERD-RCC
  Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
  ☆13Updated 2 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆104Updated last year
• yiboyang / wgd
  Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  ☆19Updated 2 years ago
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆30Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆87Updated 3 years ago
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆22Updated last year
• darioShar / DLPM
  ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)
  ☆24Updated 9 months ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆151Updated 4 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆187Updated 4 years ago
• malbergo / stochastic-interpolants
  ☆196Updated last year
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Updated last year
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆40Updated last year
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆20Updated last year
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 4 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆190Updated 9 months ago
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆54Updated 3 years ago
• airalcorn2 / vqvae-pytorch
  A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".
  ☆83Updated 3 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 9 months ago
• tatakai1 / classifier_free_ddim
  A simple implementation of classifier-free guidance DDIM on MNIST
  ☆35Updated 3 years ago
• ermongroup / dre-infinity
  Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)
  ☆20Updated 3 years ago
• kxh001 / ITdiffusion
  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
  ☆36Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 5 months ago
• alexdenker / DEFT
  Implementation of DEFT as a fork of RED-diff.
  ☆14Updated last year