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Implementation of a Neural Network from scratch with a customized pipeline to parameter tunning and cross validation
Training CNN models using CelebA with two approachs: AlexNet with regular train and MobileNetv2 with transfer learning
Implementation of 4 models types: Multinomial Logistic Regression, Suport Vector Machines, Multilayer Perceptron and Convolutional Neural Networks considering classification task of human faces
Face recognition task using classical approaches implemented from scratch. Later comparison with CNN and more robust techniques.
Application of hybrid genetic algorithm and tabu search for flexible job shop scheduling problem (FJSP)
Comparison between genetic algorithm (using scipy lib) versus Logistic Regression on cancer dataset to find best parameters
Simple implementation of most common machine learning algorithms
Functions related to model understanding, such as feature importance description and general data analysis tools
Detecting tables, shapes, and splitting tables into columns for further OCR using OpenCV
Implementation of general functions to understand data drift between samples with practical use
SVM implementation from scratch, using quadratic programming to solve dual problem
Subtracting background of documents using opencv and template match
Use of classical machine learning methods to predict fluctuations in trading using yahoo finance as data source
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.