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
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• giannisnik / message_passing_graph_kernels
  ☆16Updated 4 years ago
• automl / george
  Fast Gaussian Processes for regression
  ☆11Updated 6 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
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆18Updated 5 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 7 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• rarezhang / Kmeans-and-Kernel-Kmeans
  ####Goals#### * Implement the following clustering algorithms: K-means and Kernel K-means. * Implement the following supervised clusteri…
  ☆9Updated 9 years ago
• caisr-hh / group-anomaly-detection
  GRAND: Group-based Anomaly Detection for Large-Scale Monitoring of Complex Systems
  ☆15Updated 4 years ago
• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 5 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆47Updated 9 months ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• lshug / Continual-Keras
  Keras-based framework for implementing continual learning methods.
  ☆9Updated 5 years ago
• guoji-fu / GSDN
  The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
  ☆23Updated 4 years ago
• JohannesMaxWel / neural_random_forests
  Continuous relaxation of Random Regression Forests
  ☆16Updated 7 years ago
• aniketde / DomainGeneralizationMarginal
  ☆14Updated 7 years ago
• HazyResearch / lp_rffs
  Low precision random Fourier features for kernel approximation
  ☆19Updated 5 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• davidhallac / NetworkLasso
  ☆22Updated 9 years ago
• dhpark22 / collranking
  ☆13Updated 8 years ago
• mehmetgonen / kbmf
  Kernelized Bayesian Matrix Factorization
  ☆17Updated 7 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago