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Name: Y.K.
Type: User
Name: Y.K.
Type: User
Deep Learning-Based Late Fusion of Multimodal Information for Emotion Classification of Music Video
1D Convolutional Neural Networks for P300 detection from EEG signals
Particle Swarm Optimization Algorithm implementation for engineering problems
Multi-class confusion matrix library in Python
Framework to easily implement decentralized peer-to-peer network applications in Python
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
DL-Net: A Brain tumor Segmentation Network Using Parallel Processing of Multiple Spatial Frames
A simple Reinforcement Learning project written in Swift
ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Retina blood vessel segmentation with a convolutional neural network
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
Official Implementation of the Paper "Capsules for Object Segmentation".
Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of the least number of features in order to increase accuracy and decrease the cost of data classification. In recent years, due to appearance of high-dimensional datasets with low number of samples, classification models have encountered over-fitting problem.
Online repository for the AAMAS 2018 papers "Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility" and "CARPooL: Collective Adaptation using concuRrent PLanning".
An ensemble deep learning approach using CNN-LSTM architecture for binary classifications ensembled using a multilayer perceptron for recognising 7 different categories of emotion from speech
The extended and verified music video emotion analysis dataset for data driven algorithm.
A demo of MI-EEG classification using TCACNet
A genetic Algorithm Solution for Weekly Course Timetabling Problem
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
[ICLR2022] official implementation of UniFormer
Implement CNN models to classify vehicle type
VGGIN-Net architecture for imbalanced breast cancer classification
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.