A collection of important graph embedding, classification and representation learning papers with implementations.
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Updated
Mar 18, 2023 - Python
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of gradient boosting research papers with implementations.
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
🎨 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.
DataCLUE: 数据为中心的NLP基准和工具包
DeepSuperLearner - Python implementation of the deep ensemble algorithm
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
ML algorithm for real-time classification
Skin lesion detection from dermoscopic images using Convolutional Neural Networks
Highly Comparative Graph Analysis - Code for network phenotyping
A python implementation of the Multi-View Stacking algorithm
Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands
Development of deep learning tool to classify breast cancer images from CBIS-DDSM, INBreast and MIAS databases.
A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.
AI driven Web Application Firewall
Cyber-attack classification in the network traffic database using NSL-KDD dataset
My implementation of "Hierarchical Attention Networks for Document Classification" in Keras
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Two algorithms based on linear programming to discover classification rules for interpretable learning.
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