Alternatives and similar repositories for CompressionVAE

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

• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆152Updated 4 years ago
• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆158Updated 6 months ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆337Updated last year
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 9 months ago
• eamid / trimap
  TriMap: Large-scale Dimensionality Reduction Using Triplets
  ☆322Updated 3 months ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆101Updated last year
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated 2 weeks ago
• josephius / star-clustering
  A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
  ☆218Updated 4 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆189Updated 3 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• talboger / fastdist
  Faster distance calculations in python using numba
  ☆60Updated 2 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆147Updated 3 years ago
• wilsonjr / humap
  Hierarchical Uniform Manifold Approximation and Projection
  ☆237Updated 8 months ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆63Updated 7 years ago
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆99Updated last year
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆124Updated 4 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated last year
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆64Updated 7 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 4 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆68Updated 11 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 5 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year