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 10 months ago
• albietz / 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
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• rocmarchive / cutorch_hip
  ☆14Updated 6 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• perimosocordiae / graphs
  Graph-based learning in Python
  ☆18Updated 7 years ago
• andreamad8 / QDREN
  Question Dependent Recurrent Entity Network
  ☆13Updated 7 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆39Updated 5 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• open-machine-learning / mloss
  Machine Learning Open Source Software
  ☆23Updated 6 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• fastai / fastforest
  A forest that is fast
  ☆41Updated 6 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 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
• Hanjun-Dai / sequence2vec
  ☆8Updated 6 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• dojoteef / glas
  Generative Latent Attentive Sampler
  ☆26Updated 7 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago