Alternatives and similar repositories for pyemd

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

• garydoranjr / pyemd
  Accurate, efficient Earth Mover's Distance for Python (and MATLAB).
  ☆161Updated 6 years ago
• jasonlaska / spherecluster
  Clustering routines for the unit sphere
  ☆349Updated last year
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆408Updated 7 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 3 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 7 years ago
• lferry007 / LargeVis
  ☆715Updated 2 years ago
• cemoody / topicsne
  t-SNE experiments in pytorch
  ☆478Updated 2 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆515Updated 10 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 5 years ago
• yaringal / BayesianRNN
  Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
  ☆379Updated 8 years ago
• TatsuyaShirakawa / poincare-embedding
  Poincaré Embedding (unofficial)
  ☆230Updated 6 years ago
• facebookarchive / fbpca
  Fast Randomized PCA/SVD
  ☆497Updated 5 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆328Updated 2 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆137Updated 6 years ago
• gmum / pykernels
  Python library for working with kernel methods in machine learning
  ☆121Updated 6 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆273Updated 8 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆233Updated 6 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• code-terminator / DilatedRNN
  Tensorflow implementation for DilatedRNN
  ☆352Updated 7 years ago
• Kaixhin / Autoencoders
  Torch implementations of various types of autoencoders
  ☆474Updated 8 years ago
• y0ast / Variational-Autoencoder
  Implementation of a Variational Auto-Encoder in Theano
  ☆381Updated 8 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆329Updated 3 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆228Updated 2 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆296Updated 5 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆444Updated 7 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆710Updated 5 years ago