Alternatives and similar repositories for Groupified-VAE

Users that are interested in Groupified-VAE are comparing it to the libraries listed below

• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• ThomasMrY / VCT
  [NeurIPS 2022] code for "Visual Concepts Tokenization"
  ☆22Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• jason718 / semi-sup
  Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20
  ☆25Updated 4 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• karazijal / clevrtex-generation
  ☆41Updated last year
• nanlliu / compose-visual-relations
  [NeurIPS 2021 Spotlight] Learning to Compose Visual Relations
  ☆101Updated 2 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• zfchenUnique / DCL-Release
  This repo contains the pytorch implementation for Dynamic Concept Learner (accepted by ICLR 2021).
  ☆37Updated last year
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 5 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆41Updated 2 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆16Updated 4 years ago
• NVlabs / causal_comp
  ☆22Updated 2 years ago
• mwalmer-umd / vit_analysis
  ☆36Updated 2 years ago
• KaihuaTang / CiiV-Adversarial-Robustness.pytorch
  The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"
  ☆18Updated 3 years ago
• bfshi / VARS
  Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
  ☆36Updated 3 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• Optimization-AI / SogCLR
  Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
  ☆20Updated 2 years ago
• mshukor / EvALign-ICL
  [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …
  ☆22Updated last year
• mmlab-cv / Agglomerator
  Official code for "Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks" (CVPR2022)
  ☆34Updated 3 years ago
• alinlab / object-aware-contrastive
  Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)
  ☆45Updated 3 years ago
• NVlabs / RelViT
  [ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
  ☆63Updated 2 years ago
• yuPeiyu98 / Deep-Region-Competition
  [NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
  ☆42Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago