Alternatives and similar repositories for MESH

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

• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆66Updated 3 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆42Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 4 years ago
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆31Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated 3 weeks ago
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆175Updated last year
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆14Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆101Updated 2 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated last year
• 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…
  ☆64Updated 3 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• KamilDeja / joint_diffusion
  ☆16Updated 2 years ago
• sanketx / AL-foundation-models
  Active Learning in the era of Foundation Models
  ☆11Updated 8 months ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆31Updated 4 years ago
• NVlabs / MCPNet
  [CVPR 2024] Official Repository for MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
  ☆17Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆56Updated 2 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆91Updated last year
• MinaGhadimiAtigh / HyperbolicImageSegmentation
  Hyperbolic Image Segmentation, CVPR 2022
  ☆93Updated 3 years ago
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆25Updated 2 years ago
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆35Updated last year
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 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.
  ☆41Updated last year
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆64Updated 7 months ago