disentanglement

There are 56 repositories under disentanglement topic.

  • YannDubs/disentangling-vae

    Experiments for understanding disentanglement in VAE latent representations

    Language:Python7721523145
  • matthewvowels1/Awesome-VAEs

    A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  • google-deepmind/dsprites-dataset

    Dataset to assess the disentanglement properties of unsupervised learning methods

    Language:Jupyter Notebook46916670
  • Schlumberger/joint-vae

    Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

    Language:Jupyter Notebook45820362
  • miyosuda/disentangled_vae

    Replicating "Understanding disentangling in β-VAE"

    Language:Python1928738
  • tlgan

    harskish/tlgan

    Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]

    Language:Python17512215
  • nmichlo/disent

    🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

    Language:Python11743519
  • chemCPA

    theislab/chemCPA

    Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

    Language:Jupyter Notebook8859722
  • bismex/HiCMD

    [CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

    Language:Python784619
  • h3lio5/linguistic-style-transfer-pytorch

    Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

    Language:Python6831121
  • MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation

    Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)

    Language:Python68208
  • csyxwei/OroJaR

    Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)

    Language:Python671110
  • tsinghua-fib-lab/CLSR

    The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

    Language:Python6702418
  • vios-s/disentanglement_tutorial

    This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

  • jkkummerfeld/irc-disentanglement

    Dataset and model for disentangling chat on IRC

    Language:Python527516
  • dmitrykazhdan/concept-based-xai

    Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

    Language:Python49725
  • avivga/overlord

    Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

    Language:Python46446
  • fjxmlzn/InfoGAN-CR

    [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

    Language:Python41668
  • vectominist/spin

    Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"

    Language:Python37154
  • JeremDona/spatiotemporal_variable_separation

    Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

    Language:Python27343
  • dmelodies_dataset

    ashispati/dmelodies_dataset

    Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"

    Language:Python25405
  • avivga/zerodim

    Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.

    Language:Python24135
  • mmrl/disent-and-gen

    Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

    Language:Jupyter Notebook22301
  • rpatrik96/ima-vae

    This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

    Language:Jupyter Notebook22300
  • astra-vision/GuidedDisent

    [TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.

    Language:Python21202
  • changdaeoh/FarconVAE

    Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"

    Language:Python213
  • matching-with-gans

    csinva/matching-with-gans

    Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼‍🦰👱🏽‍♂️👴🏾

    Language:Jupyter Notebook19512
  • zhihengli-UR/discover_unknown_biases

    Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)

    Language:Python19101
  • koukyo1994/awesome-disentangled-representations

    A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.

  • ema-marconato/reasoning-shortcuts

    Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

    Language:Python15212
  • sarthak268/DisCont

    PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).

    Language:Python14323
  • avivga/lord-pytorch

    Official pytorch re-implementation of "Demystifying Inter-Class Disentanglement", ICLR 2020.

    Language:Python12203
  • gvalvano/sdtnet

    Spatial Decomposition and Transformation Network - TensorFlow

    Language:Python12402
  • gvalvano/sdnet

    Spatial Decomposition Network - TensorFlow

    Language:Python9141
  • gautam0707/CANDLE

    An Image Dataset for Causal Analysis in Disentangled Representations