yasinkaya1 Goto Github PK
Name: Y.K.
Type: User
Name: Y.K.
Type: User
Advanced Deep Learning with Keras, published by Packt
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,etc. ⭐⭐⭐⭐⭐
BCDU-Net : Medical Image Segmentation
Classification of EEG signals from the brain 🧠 through OpenBCI hardware and Tensorflow-Keras API
End-to-end breast cancer detection in Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Wrapper in Python for the CEC'2019 100 digit competition at http://cec2019.org/programs/competitions.html#cec-06
Project to create a CKD predictor using the public dataset of UCI Machine Learning Repository:https://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease
Data plus code fo Classification of Heart Sound Signal Using Multiple Features
Codes for some of my co-authored journal/conference papers
tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
A Multi-Dilation Convolutional Neural Network for Automatic COVID-19 and Other Pneumonia Detection from Chest X-ray Images with Transferable Multi-Receptive Feature Optimization
CPSOGSA is employed to find the optimal pixels in the benchmark images
List of Computer Science courses with video lectures.
Complete end to end Datascience Books for various Application
Data Structure And Algorithms Made Easy In Java
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Light-weight transfer learning framework for on-device speech and audio recognition using pre-trained image convolutional neural networks.
A Keras Implementation of GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy paper.
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.