Alternatives and similar repositories for frequent-directions

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

• ilyaraz / ot_estimators
  Implementations of several fast approximate algorithms for geometric optimal transport (OT)
  ☆117Updated 5 years ago
• 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
• UCLA-StarAI / LearnPSDD
  ☆15Updated 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
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 3 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• ydtydr / HyperbolicTiling_Learning
  Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
  ☆18Updated last year
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆82Updated 7 years ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆202Updated last year
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆128Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 6 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• microsoft / EDDI
  Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
  ☆40Updated 2 years ago
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆60Updated 2 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• idiap / eakmeans
  Implementation of fast exact k-means algorithms
  ☆45Updated 5 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 7 years ago
• flaviovdf / tribeflow
  TribeFlow's source code
  ☆32Updated 7 years ago
• google / gumbel_sinkhorn
  ☆76Updated 7 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆85Updated 3 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago