Alternatives and similar repositories for pyTsetlinMachineParallel

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

• cair / convolutional-tsetlin-machine-tutorial
  Tutorial on the Convolutional Tsetlin Machine
  ☆53Updated 4 years ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆42Updated 2 years ago
• cair / pyTsetlinMachine
  Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…
  ☆142Updated 3 months ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆61Updated 7 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• ilia10000 / LO-Shot
  Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
  ☆86Updated 11 months ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆30Updated 5 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• srlearn / srlearn
  ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
  ☆31Updated 2 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated 2 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 4 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• FastGA / fast-genetic-algorithms
  ☆21Updated 8 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• brohrer / parameter_efficiency_leaderboard
  The most parameter efficient machine learning models on a few popular benchmarks
  ☆42Updated 3 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated 11 months ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 3 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago