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OpenGL program that can render and smoothly animate faces representing different human emotions on a human head mesh.
Photo-Realistic Facial Details Synthesis from Single Image (ICCV2019 Oral)
Built MultinomialNB, Logistic Regression, Random Forests and LSTM with the TF-IDF vectorizer for fake and real news classification. Also performed K-means unsupervised algorithm with PCA and t-SNE.
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
Super easy library for BERT based NLP models
pytorch implementation of fast-neural-style
Fast Neural Style Transfer implementation in PyTorch :art: :art: :art:
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Speedy Wavenet generation using dynamic programming :zap:
Faster R-CNN for Open Images Dataset by Keras
Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Library for fast text representation and classification.
Tips for Advanced Feature Engineering
Basic to Advanced Feature Engineering Techniques in Machine Learning
Deep Feature Synthesis, Feature Stacking, Gradient Boosting Regressor, k-fold Cross Validation
Feature Engineering Machine Learning Data Science
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Implementation of feature engineering from Feature engineering strategies for credit card fraud
Feature Engineering Made Easy, published by Packt
feature Engineering in Detail
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Feature engineering package with sklearn like functionality
Feature Engineering for Machine Learning, Soledad Galli
IMPORTANT Collection of Feature Engineering methods/assignment
An open source python library for automated feature engineering
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.