Alternatives and similar repositories for pyTsetlinMachineParallel:

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

• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆41Updated 2 years ago
• cair / pyTsetlinMachine
  Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…
  ☆135Updated 2 weeks ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 4 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 3 years ago
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆30Updated 4 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 6 years ago
• cair / convolutional-tsetlin-machine-tutorial
  Tutorial on the Convolutional Tsetlin Machine
  ☆53Updated 4 years ago
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 6 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 5 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 4 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• PrototypeML / PrototypeML
  ☆30Updated 4 years ago
• GeorgeKyriakides / nord
  Deep neural architecture research framework
  ☆12Updated 2 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• slundberg / IntegratedGradients
  Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …
  ☆9Updated 7 years ago
• cod3licious / simec
  Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations
  ☆17Updated 4 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆37Updated 5 months ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated last year
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 7 months ago
• amalF / Kervolution
  Kervolution implementation using TF2.0
  ☆20Updated 2 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 7 months ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago