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

This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.

A curated list of gradient boosting research papers with implementations.

Python implementation of KNN and DTW classification algorithm

🎨 Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

DeepSuperLearner - Python implementation of the deep ensemble algorithm

Object classification with CIFAR-10 using transfer learning

#100DaysofMLCode Challenege

Classifying the Blur and Clear Images

ML algorithm for real-time classification

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

使用 Keras 进行中文文本分类

机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Vote ALlocating Immune System, an immune-inspired classification algorithm

MyMaster is a combination of an android app and a web api that uses a classification algorithm to help students choosing the best master for their profile.

Data Visualization and Machine Learning with Iris Dataset.

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

R package for cell type prediction based on SVD and ML approaches

This repository is for every beginner who just finished with the theoretical part of Machine Learning and wants to have a hands on experience of various kinds of algorithm and make predictions on a real time dataset.

Zimbra Machine Learning GraphQL Server

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

This is the SOFTCORE economy-updated version of my filter. It's based on the stable version, but is auto-updated with cutting-edge economy information (which are analyzed, postprocessed and run through several algorithms) every 4 hours.

A fuzzy min max classifier introducing the concept of fuzzy neural networks.

Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.