Alternatives and similar repositories for playing_with_vae

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

• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• recursionpharma / rxrx1-utils
  Starter code for the CellSignal NeurIPS 2019 competition.
  ☆45Updated 4 months ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 7 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• rflamary / OTML_DS3_2018
  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
  ☆92Updated 7 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆226Updated 11 months ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆61Updated 4 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆90Updated 7 years ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆151Updated 4 years ago
• mzgubic / MINE
  Mutual Information Neural Estimator implemented in Tensorflow
  ☆46Updated 6 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆141Updated 7 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆146Updated 3 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆45Updated 4 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆158Updated 8 months ago
• samuela / oi-vae
  Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
  ☆26Updated 5 years ago
• rflamary / OTML_Statlearn2018
  Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
  ☆26Updated 7 years ago
• asdspal / dimRed
  python, scala, and pyspark code for few dimensional reduction algorithms
  ☆62Updated 7 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• ibarrond / VariationalAutoencoders
  Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
  ☆28Updated 7 years ago
• andyhahaha / Uncertainty-Mnist-with-Pytorch
  Uncertainty estimation on Mnist dataset
  ☆23Updated 7 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 11 months ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆68Updated 10 months ago
• Avsecz / kopt
  Hyper-parameter optimization for Keras
  ☆46Updated 4 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago
• cc-skuehn / Manifold_Learning
  Worked examples about manifold learning using sklearn and jupyter
  ☆51Updated 6 years ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆66Updated 6 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆256Updated 4 years ago