machine-learning-algorithms

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This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

AI for GNU Image Manipulation Program

Machine learning powered Karaoke app (with scores!)

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Implementation of the node2vec algorithm.

A deep dive into embeddings starting from fundamentals

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Deeplearning Algorithms Tutorial

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

Android TensorFlow Lite Machine Learning Example

I am Duncan, a cofounder at Rose City Robotics. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelligence, deep learning and machine learning. PRs welcome!

A general classifier module to allow Bayesian and LSI classifications.

A curated list of Monte Carlo tree search papers with implementations.

🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

oneAPI Data Analytics Library (oneDAL)

Books and other resources

Modeltime unlocks time series forecast models and machine learning in one framework

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

PECOS - Prediction for Enormous and Correlated Spaces

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Cloud-native Financial Reinforcement Learning