Alternatives and similar repositories for fast-tsetlin-machine-in-cuda-with-imdb-demo:

Users that are interested in fast-tsetlin-machine-in-cuda-with-imdb-demo are comparing it to the libraries listed below

• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• arvoelke / delay2017
  Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
  ☆7Updated 7 years ago
• soskek / dynamic_neural_text_model
  A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse, Sosuke Kobayashi, Naoaki …
  ☆9Updated 7 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• hardmaru / cma
  Fork of cma-es library by Nikolaus Hansen
  ☆12Updated 7 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 8 years ago
• dyth / causal-entropic-forces
  An attempt to reimplement the 2013 paper by Wissner-Gross & Freer
  ☆10Updated 4 months ago
• CarsonScott / CALM
  Conditional Associative Logic Memory
  ☆27Updated 7 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• cair / TextUnderstandingTsetlinMachine
  Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
  ☆49Updated 5 years ago
• 222464 / MiniNeoRL
  Simple, small, fully-connected Python version of NeoRL
  ☆11Updated 9 years ago
• timvieira / learning-to-prune
  Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
  ☆22Updated 7 months ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• Hanjun-Dai / sequence2vec
  ☆8Updated 6 years ago
• jacobBaumbach / MCWMD
  Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
  ☆13Updated 8 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• jaanli / deep-exponential-families-gluon
  Deep exponential family models in MXNet/Gluon. Layers o' latents 💤
  ☆17Updated 7 years ago
• ml-jku / tensorflow-layer-library
  Tensorflow Layer Library (TeLL)
  ☆11Updated 6 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• mxbi / ciphers
  Solve ciphers with python
  ☆10Updated 6 years ago