cair / TsetlinMachineBook
Python code accompanying the book "An Introduction to Tsetlin Machines".
☆38Updated 3 years ago
Alternatives and similar repositories for TsetlinMachineBook:
Users that are interested in TsetlinMachineBook are comparing it to the libraries listed below
- Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…☆132Updated this week
- 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, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…☆133Updated 11 months ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 2 years ago
- Data Twinning☆25Updated 2 years ago
- A Symbolic Regression engine☆29Updated 3 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆86Updated last year
- Check if you have training samples in your test set☆64Updated 2 years ago
- A library of Reversible Data Transforms☆123Updated this week
- Evolution Strategy Library☆55Updated 4 years ago
- Lightweight ML Experiment Logging 📖☆78Updated 5 months ago
- Provides symbolic API for model creation in PyTorch.☆63Updated 5 months ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- ☆18Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- PyNeuraLogic lets you use Python to create Differentiable Logic Programs☆285Updated this week
- A Python library for machine-learning and feedback loops on streaming data☆60Updated last year
- Deep learning for spiking neural networks☆69Updated 9 months ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆115Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆104Updated 7 months ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆26Updated 3 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 5 months ago
- ☆18Updated 3 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
- Differentiable Algorithms and Algorithmic Supervision.☆112Updated last year
- Lightweight Hyperparameter Optimization 🚂☆143Updated 5 months ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆64Updated 3 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Minimal deep learning library written from scratch in Python, using NumPy/CuPy.☆120Updated 2 years ago