Alternatives and similar repositories for NeuralEigenFunction:

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

• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆28Updated 9 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆57Updated last year
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 3 years ago
• GiulsLu / Sinkhorn-Barycenters
  Sinkhorn Barycenters via Frank-Wolfe algorithm
  ☆25Updated 5 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 4 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated 8 months ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• pnnl / torchntk
  ☆27Updated 2 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆23Updated 2 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• ChengzijunAixiaoli / PPMM
  Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]
  ☆15Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 9 months ago
• volagold / fce-2d
  Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data
  ☆10Updated 2 years ago
• allenbai01 / transformers-as-statisticians
  ☆31Updated last year
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated 8 months ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆32Updated 3 years ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated last year
• MingyuKim87 / NPwSA
  Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…
  ☆10Updated 2 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆51Updated last year
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 2 years ago
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year