Popular GitHub Repositories for Bolzmann Machines

100 Days of ML Coding

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

? NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Text Classification Algorithms: A Survey

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

Factorization Machine models in PyTorch

"Neural Turing Machine" in Tensorflow

Boltzmann Machines in TensorFlow with examples

TensorFlow implementation of an arbitrary order Factorization Machine

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Neural Turing Machines (NTM) - PyTorch Implementation

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Some deep learning based recsys for open learning.

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.