Alternatives and similar repositories for pyemd

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

• wmayner / pyemd
  Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
  ☆491Updated last week
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 8 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆214Updated 8 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 8 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆75Updated 9 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆150Updated 9 years ago
• laurent-dinh / nice
  ☆85Updated 11 years ago
• Jiaming-Liu / pytorch-lr-scheduler
  Bring some LR schedulers from Keras to PyTorch.
  ☆36Updated 8 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• tscohen / gconv_experiments
  Experiments with Group Equivariant Convolutional Networks
  ☆121Updated 7 years ago
• pierrebaque / GeometricConvolutionsBench
  ☆33Updated 8 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 8 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 8 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆292Updated 8 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆92Updated 7 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆104Updated 9 years ago
• chrischoy / knn_cuda
  Fast K-Nearest Neighbor search with GPU
  ☆143Updated 8 years ago
• KhrulkovV / geometry-score
  ☆117Updated 6 years ago
• josipd / torch-submod
  A PyTorch library for differentiable submodular minimization.
  ☆57Updated 8 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• loshchil / SGDR
  ☆253Updated 9 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆57Updated 6 years ago
• drasmuss / hessianfree
  Hessian-free optimization for deep networks
  ☆60Updated 8 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆208Updated 7 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆68Updated 8 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• xcyan / nips16_PTN
  Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
  ☆144Updated 5 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago