Alternatives and similar repositories for hyperlight

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

• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆129Updated last year
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆206Updated last year
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆209Updated 2 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• ZehaoDou-official / FPS-SMC-2023
  Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…
  ☆44Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆148Updated 3 years ago
• connorlee77 / pytorch-mutual-information
  Mutual Information in Pytorch
  ☆112Updated 2 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆56Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated 2 years ago
• KamilDeja / joint_diffusion
  ☆15Updated 2 years ago
• PatrickHua / FeatureDecorrelationSSL
  ☆17Updated 3 years ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆62Updated 5 months ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• facebookresearch / disentangling-correlated-factors
  A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…
  ☆74Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• Jae-Moo / Unbalanced-Optimal-Transport-Generative-Model
  Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
  ☆16Updated last year
• horenbergerb / BernoulliDiffusion
  Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.
  ☆21Updated 2 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆174Updated 6 months ago
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆78Updated last year
• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆71Updated last year
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆13Updated last year
• christopher-beckham / annotated-conditional-diffusion
  ☆10Updated 3 years ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆60Updated last month
• google-deepmind / functa
  ☆158Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆57Updated 2 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆38Updated 3 years ago