Alternatives and similar repositories for MISSION

Users that are interested in MISSION are comparing it to the libraries listed below

• kexinrong / rehashing
  fast kernel evaluation in high dimensions via hashing
  ☆23Updated 5 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 11 years ago
• dataplayer12 / Fly-LSH
  An implementation of efficient LSH inspired by fruit fly brain
  ☆87Updated 6 years ago
• optml / CoCoA
  ☆18Updated 7 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆31Updated 10 years ago
• rdspring1 / Count-Sketch-Optimizers
  A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
  ☆26Updated 6 years ago
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆52Updated 9 years ago
• stanford-futuredata / optimus-maximus
  To Index or Not to Index: Optimizing Exact Maximum Inner Product Search
  ☆26Updated 6 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆78Updated 8 years ago
• stanford-futuredata / wmsketch
  Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).
  ☆39Updated 7 years ago
• eelenberg / streak
  Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
  ☆23Updated 8 years ago
• jfinkels / birkhoff
  Birkhoff decomposition for doubly stochastic matrices.
  ☆14Updated 2 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• RUSH-LAB / LSH_Memory
  One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
  ☆75Updated 7 years ago
• oertl / bagminhash
  BagMinHash - Minwise Hashing Algorithm for Weighted Sets
  ☆26Updated 5 years ago
• keroro824 / LGD
  ☆10Updated 7 years ago
• renaud / hdp-faster
  Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang
  ☆18Updated 12 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 6 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• n0mad / octopi
  Playing with arithmetic coding and RNNs
  ☆22Updated 9 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 11 years ago
• louissmit / VBNN
  Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)
  ☆10Updated 10 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 11 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
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago