Space War starting in Episode 55 of cleancoders.com

Minimal Tsetlin Machine implementation

The Tsetlin Machine library, with zero external dependencies, performs blazingly fast.

Code and datasets for the Tsetlin Machine

WIP - a Pythonic Machine Learning sandbox, introducing (I hope) the idea of trainable iterables. Regardless, this repository is free. If knowledge isn't free, than neither are we.

A calmer internet, without any gimmicks.

🎦 Learn Pedestal course files for building REST API

🎦 Learn Reitit course files for building Cheffy REST API

Reactive Data Board & Visual Flow Platform

fklearn: Functional Machine Learning

Easy layered graphics with Hanami & Tablecloth

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Fast primitive based math library

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023

Example of how to setup a NVIDIA DevContainer with GPU Support for Tensorflow/Keras, that follows the page https://alankrantas.medium.com/setup-a-nvidia-devcontainer-with-gpu-support-for-tensorflow…

Homomorphic machine learning

A simple and functional machine learning library for the Erlang ecosystem

Disassembly of Pokémon Red/Blue

a selector-based (à la CSS) templating and transformation system for Clojure

Pure Clojure Webdriver protocol implementation

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Graph Neural Network Library for PyTorch

Implementation of Graph Convolutional Networks in TensorFlow

Notebooks for the ML Link Prediction Course

NetworkX API for Neo4j Graph Algorithms.

Machine Learning Procedures and Functions for Neo4j

Hands-On Graph Neural Networks Using Python, published by Packt

Please do not feed the models

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Julia Implementation of Transformer models