Alternatives and similar repositories for MESH

Users that are interested in MESH are comparing it to the libraries listed below

• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated 2 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆80Updated 10 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 9 months ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 7 months ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆52Updated 9 months ago
• phlippe / BISCUIT
  Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
  ☆32Updated last year
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 10 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆85Updated last year
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• yunhuiguo / CO-SNE
  code for CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data (CVPR 2022)
  ☆21Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• hankook / CLEL
  ☆15Updated 2 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• addtt / object-centric-library
  Library for the training and evaluation of object-centric models (ICML 2022)
  ☆68Updated 2 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆52Updated last year
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago
• amazon-science / object-centric-learning-framework
  ☆78Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆54Updated last year
• GFNOrg / GFN_vs_HVI
  ☆9Updated 2 years ago
• evelinehong / slot-attention-pytorch
  Pytorch Implementation of paper "Object-Centric Learning with Slot Attention"
  ☆95Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆96Updated last year
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆29Updated last year
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆44Updated 3 years ago