cair / pyTsetlinMachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
☆135Updated last month
Alternatives and similar repositories for pyTsetlinMachine:
Users that are interested in pyTsetlinMachine are comparing it to the libraries listed below
- Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…☆41Updated 2 years ago
- Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…☆143Updated 3 weeks ago
- Tutorial on the Convolutional Tsetlin Machine☆53Updated 4 years ago
- Python code accompanying the book "An Introduction to Tsetlin Machines".☆41Updated 3 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆41Updated 2 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Code and datasets for the Tsetlin Machine☆475Updated last month
- A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.☆67Updated 5 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- Cellular automaton-based calculus for the masses☆24Updated 6 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 4 months ago
- A curated list of Tsetlin Machine research☆13Updated 2 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- An experiment with "freely" wired neural networks (no layers)☆163Updated 9 months ago
- Experiment orchestration☆103Updated 4 years ago
- Time series analysis suite☆100Updated 2 years ago
- ☆153Updated 4 years ago
- Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications☆49Updated 5 years ago
- Hopular: Modern Hopfield Networks for Tabular Data☆311Updated 2 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated 10 months ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 3 months ago
- A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)☆86Updated last month
- Celular automaton-based calculus for the masses☆112Updated 5 years ago
- Advanced random forest methods in Python☆57Updated last year
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated 9 months ago
- Functional tensors for probabilistic programming☆240Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Vectorizers for a range of different data types☆101Updated 3 months ago