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
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• mtomassoli / tensor-differential-calculus
  Source code for my paper "Matrix Differential Calculus with Tensors (for Machine Learning)"
  ☆12Updated 8 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 5 years ago
• mxbi / ciphers
  Solve ciphers with python
  ☆10Updated 6 years ago
• rldotai / mdpy
  Markov Decision Processes in Python
  ☆15Updated 6 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• maet3608 / nuts-ml
  Flow-based data pre-processing for deep learning
  ☆31Updated 4 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• grananqvist / NALU-tf
  Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.
  ☆28Updated 6 years ago
• nushio3 / practice
  ☆28Updated 5 years ago
• hantek / zlinnet
  Source code for ``How far can we go without convolution: Improving fully-connected networks'' published at ICLR 2016 workshop
  ☆13Updated 9 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• google / cloud-berg
  Berg - Run GPU-backed experiments on gcloud
  ☆26Updated 6 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• j2kun / mwua
  Python code implementing the MWUA algorithm and a Linear Program solver
  ☆34Updated last year
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• 222464 / MiniNeoRL
  Simple, small, fully-connected Python version of NeoRL
  ☆11Updated 9 years ago
• dyth / causal-entropic-forces
  An attempt to reimplement the 2013 paper by Wissner-Gross & Freer
  ☆10Updated 5 months ago
• timvieira / learning-to-prune
  Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
  ☆22Updated 8 months ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago