yasinkaya1 Goto Github PK
Name: Y.K.
Type: User
Name: Y.K.
Type: User
Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)
Emotion recognition is defined as identifying human emotion and is directly related to different fields such as human-computer interfaces, human emotional processing, irrational analysis, medical diagnostics, data-driven animation, human-robot communication and many more. This paper proposes a new facial emotional recognition model using a convolutional neural network. Our proposed model, “ConvNet”, detects seven specific emotions from image data including anger, disgust, fear, happiness, neutrality, sadness, and surprise.
Discriminative Feature Learning through Feature Distance Loss
Feature selection methods using optimization algroithms
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
Generate saliency maps for log scanned images
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
UCI HAR and HAPT dataset analysis
Human Activity Recognition using Smartphone sensors
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Approach."
Multi-Armed Bandits Optimizer Selection
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
A collection of the state-of-the-art MEta-heuristic ALgorithms in PYthon (mealpy)
the usually used medical image processing codes for deep learning
A browser extension to read medium.com articles for free without membership.
Repository containing notebooks of my posts on Medium
A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
Different meta-heuristic optimization techniques for feature selection
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
Microarray datasets in CSV tarballs for MATLAB and Python
Multi-objective cucckoo search algorithm based on NSGA-II
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.