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
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• kylehkhsu / latent_quantization
  ☆40Updated last year
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆54Updated 2 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 10 months ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆41Updated 2 years ago
• ubisoft / ubisoft-laforge-disentanglement-metrics
  ☆33Updated 4 years ago
• hsouri / BayesianTransferLearning
  ☆109Updated 2 years ago
• lucidrains / discrete-key-value-bottleneck-pytorch
  Implementation of Discrete Key / Value Bottleneck, in Pytorch
  ☆88Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆123Updated last year
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• cedricrommel / augnet
  Code of "Deep invariant networks with differentiable augmentation layers"
  ☆18Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆46Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆144Updated 3 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆212Updated last year
• minyoungg / vqtorch
  ☆131Updated last year
• ctlllll / SGConv
  ☆163Updated 2 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆63Updated 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
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 4 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆124Updated last year
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆121Updated 2 years ago
• gmum / few-shot-hypernets-public
  ☆24Updated 11 months ago
• team-approx-bayes / bayesian-sam
  Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
  ☆25Updated last year
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆52Updated 10 months ago
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆30Updated last year