Alternatives and similar repositories for frequent-directions

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

• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 5 years ago
• dglai / minigun
  Light-weight GPU kernel interface for graph operations
  ☆15Updated 5 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• kd383 / NetworkDOS
  Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
  ☆25Updated 5 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 6 years ago
• cshjin / gnn_in_neurips_2019
  A comprehensive collection of GNN works in NeurIPS 2019.
  ☆21Updated 5 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 8 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• smallk / smallk
  High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
  ☆49Updated 7 years ago
• ydtydr / HyperbolicTiling_Learning
  Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
  ☆18Updated 10 months ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 8 years ago
• qiangsiwei / poincare_embedding
  Poincaré Embedding
  ☆40Updated 7 years ago
• locuslab / sdp_clustering
  ☆12Updated 4 years ago
• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆74Updated 3 years ago
• hp027 / AliGraph
  Large Scale Graphical Model
  ☆24Updated 6 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• stanford-futuredata / wmsketch
  Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).
  ☆38Updated 6 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆46Updated 5 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• optml / CoCoA
  ☆19Updated 7 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• google / gumbel_sinkhorn
  ☆75Updated 7 years ago