A collection of important graph embedding, classification and representation learning papers with implementations.

A curated list of gradient boosting research papers with implementations.

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Classifying the Blur and Clear Images

This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement

DeepSuperLearner - Python implementation of the deep ensemble algorithm

A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

DataCLUE: 数据为中心的NLP基准和工具包

ML algorithm for real-time classification

Highly Comparative Graph Analysis - Code for network phenotyping

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Zimbra Machine Learning GraphQL Server

Simple Classification program to predict the species of an iris flower.

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Detecting phishing website using machine learning

Suite of multitask learning methods.