cair / TsetlinMachineBookLinks
Python code accompanying the book "An Introduction to Tsetlin Machines".
☆44Updated 3 years ago
Alternatives and similar repositories for TsetlinMachineBook
Users that are interested in TsetlinMachineBook are comparing it to the libraries listed below
Sorting:
- Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…☆147Updated last month
- Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…☆140Updated 2 months ago
- Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…☆42Updated 2 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆42Updated 2 years ago
- Lightweight Hyperparameter Optimization 🚂☆147Updated 9 months ago
- A Symbolic Regression engine☆30Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆27Updated 3 years ago
- ☆192Updated last month
- Image augmentation library for Jax☆39Updated last year
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- A metrics library for the JAX ecosystem☆40Updated 2 years ago
- Distributed skorch on Ray Train☆57Updated 2 years ago
- Data Twinning☆24Updated 2 years ago
- Cellular automaton-based calculus for the masses☆24Updated 6 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆86Updated last year
- A Python library for machine-learning and feedback loops on streaming data☆61Updated 2 years ago
- Bayesian Bandits☆68Updated last year
- Utilities for probabilistic ML☆36Updated last year
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆37Updated 3 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- Neural Networks for JAX☆84Updated 8 months ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆65Updated 3 months ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Lightweight ML Experiment Logging 📖☆80Updated 9 months ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year