Alternatives and similar repositories for frequent-directions-experiments

Users that are interested in frequent-directions-experiments are comparing it to the libraries listed below

• namkoong-lab / robustopt
  ☆43Updated 6 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 7 years ago
• jinohoh / WSDM17_shot
  ☆8Updated 8 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
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆104Updated 5 years ago
• xiangning-chen / SIF
  Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"
  ☆25Updated 5 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 years ago
• locuslab / sdp_clustering
  ☆12Updated 4 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• AlgorithmFan / BPTF
  Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
  ☆21Updated 8 years ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆30Updated 5 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• levelfour / SU_Classification
  Implementation for "Classification from Pairwise Similarity and Unlabeled Data"
  ☆27Updated 5 years ago
• tamu-helios / pyten
  TAMU HELIOS Group PyTen Package
  ☆14Updated 6 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• hanliu95 / DFM
  Discrete Factorization Machines
  ☆10Updated 7 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• xuanqing94 / AdvSSL
  A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
  ☆12Updated 5 years ago
• shuaiOKshuai / D2AGE
  The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
  ☆12Updated 7 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 4 years ago
• mstaib / stochastic-barycenter-code
  Supporting code for "Parallel Streaming Wasserstein Barycenters"
  ☆10Updated 7 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• cambridge-mlg / SPVAE
  Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)
  ☆12Updated 5 years ago
• zalanborsos / coresets
  Coresets
  ☆37Updated 3 years ago