disentanglement
There are 57 repositories under disentanglement topic.
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
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
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
miyosuda/disentangled_vae
Replicating "Understanding disentangling in β-VAE"
harskish/tlgan
Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]
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
theislab/chemCPA
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
bismex/HiCMD
[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
tsinghua-fib-lab/CLSR
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
csyxwei/OroJaR
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)
h3lio5/linguistic-style-transfer-pytorch
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
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.
dmitrykazhdan/concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
jkkummerfeld/irc-disentanglement
Dataset and model for disentangling chat on IRC
avivga/overlord
Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
fjxmlzn/InfoGAN-CR
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
vectominist/spin
Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"
JeremieDona/spatiotemporal_variable_separation
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
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"
avivga/zerodim
Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.
changdaeoh/FarconVAE
Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
mmrl/disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
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).
astra-vision/GuidedDisent
[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.
csinva/matching-with-gans
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
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.
zhihengli-UR/discover_unknown_biases
Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
xianglin226/Benchmarking-Single-Cell-Perturbation
Single-Cell (Perturbation) Model Library
ema-marconato/reasoning-shortcuts
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
gvalvano/sdtnet
Spatial Decomposition and Transformation Network - TensorFlow
sarthak268/DisCont
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
pha123661/SA-DVAE
[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"
avivga/lord-pytorch
Official pytorch re-implementation of "Demystifying Inter-Class Disentanglement", ICLR 2020.
gautam0707/CANDLE
An Image Dataset for Causal Analysis in Disentangled Representations