Alternatives and similar repositories for frequent-directions

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

• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆73Updated 4 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 8 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆76Updated 3 years ago
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆60Updated 3 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 5 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• kexinrong / rehashing
  fast kernel evaluation in high dimensions via hashing
  ☆23Updated 5 years ago
• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆48Updated 10 months ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 9 years ago
• google / gumbel_sinkhorn
  ☆76Updated 8 years ago
• EigenPro / EigenPro2
  EigenPro2 iteration in Tensorflow (Keras)
  ☆23Updated 6 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated 2 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• google-research / autoconj
  Recognizing and exploiting conjugacy without a domain-specific language
  ☆36Updated 5 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 7 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• ilyaraz / ot_estimators
  Implementations of several fast approximate algorithms for geometric optimal transport (OT)
  ☆116Updated 5 years ago
• idiap / eakmeans
  Implementation of fast exact k-means algorithms
  ☆45Updated 6 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 7 years ago
• stanford-futuredata / wmsketch
  Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).
  ☆39Updated 7 years ago
• smallk / smallk
  High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
  ☆49Updated 7 years ago