cair / pyTsetlinMachineLinks
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
☆145Updated 5 months ago
Alternatives and similar repositories for pyTsetlinMachine
Users that are interested in pyTsetlinMachine are comparing it to the libraries listed below
Sorting:
- Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…☆43Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…☆154Updated 2 weeks ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- Black box hyperparameter optimization made easy.☆75Updated 2 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆59Updated 7 years ago
- Tutorial on the Convolutional Tsetlin Machine☆53Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated last week
- Koolmogorov is a Python library based on CompLearn☆70Updated 8 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- Functional tensors for probabilistic programming☆243Updated 2 years ago
- Experiment orchestration☆102Updated 5 years ago
- A toolset for black-box hyperparameter optimisation.☆135Updated 5 years ago
- Evolution Strategy Library☆55Updated 5 years ago
- Keras implementation of Legendre Memory Units☆215Updated 2 months ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆98Updated last year
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- An ML framework to accelerate research and its path to production.☆267Updated last year
- Data Twinning☆25Updated 2 years ago
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆43Updated 5 years ago
- ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.☆31Updated 2 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 5 years ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆68Updated 6 months ago
- A fully Bayesian implementation of sequential model-based optimization☆40Updated last year
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 4 years ago
- Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow☆55Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Code and datasets for the Tsetlin Machine☆488Updated 3 weeks ago