Alternatives and similar repositories for KOL

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

• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• donlan2710 / gRDA-Optimizer
  ☆39Updated 2 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆20Updated 6 years ago
• gn-exp / gn-exp
  Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
  ☆23Updated 6 years ago
• younglululu / DeepPINK
  DeepPINK: reproducible feature selection in deep neural networks
  ☆22Updated last year
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago
• tonyabracadabra / Deep-Subspace-Clustering
  Subspace clustering through the deep learning approach
  ☆22Updated 9 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 7 years ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆104Updated 3 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• muhanzhang / D-VAE
  D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
  ☆145Updated 5 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆29Updated 4 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• zalanborsos / coresets
  Coresets
  ☆37Updated 3 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• mehdidc / dpp
  Determinantal point process
  ☆19Updated 10 years ago
• rusty1s / deep-learning-on-graphs
  ☆32Updated 7 years ago
• uestc-lese / SPGRL
  ☆18Updated 3 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 4 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• hulianyu / CVDD
  An Internal Validity Index Based on Density-Involved Distance (2019).
  ☆17Updated 9 months ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆23Updated 2 years ago
• naszilla / bananas
  Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
  ☆27Updated 4 years ago
• bwilder0 / clusternet
  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
  ☆91Updated 6 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆11Updated 7 years ago
• guoji-fu / GSDN
  The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
  ☆23Updated 5 years ago