Alternatives and similar repositories for disentangling-correlated-factors

Users that are interested in disentangling-correlated-factors are comparing it to the libraries listed below

• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆51Updated 3 years ago
• ubisoft / ubisoft-laforge-disentanglement-metrics
  ☆33Updated 4 years ago
• kylehkhsu / latent_quantization
  ☆38Updated last year
• koukyo1994 / awesome-disentangled-representations
  A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…
  ☆22Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆146Updated 3 years ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆40Updated 2 years ago
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆97Updated 3 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆77Updated 9 months ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆202Updated last year
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆66Updated last year
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 9 months ago
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆52Updated last year
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆81Updated 5 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆123Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆124Updated last year
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• psanch21 / causal-flows
  ☆51Updated 9 months ago
• hsouri / BayesianTransferLearning
  ☆109Updated 2 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆51Updated 9 months ago
• cedricrommel / augnet
  Code of "Deep invariant networks with differentiable augmentation layers"
  ☆18Updated 2 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 3 years ago
• sony / sqvae
  Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
  ☆187Updated 2 years ago