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📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
100-Days-Of-ML-Code中文版
该仓库用于构建自托管的12306验证码识别服务器
《唐诗三百首》数据
3D虚拟试衣系统
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Fit 3DMM to front and side face images simultaneously.
A 3DMM fitting framework using Pytorch.
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Detects 81 points on face , using openCV , Python and Dlib. In real-time
A Small C Compiler
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
A Tensorflow based implicit recommender system
Abseil Common Libraries (C++)
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Action recognition using soft attention based deep recurrent neural networks
A Compiler Writing Journey
Papers on Computational Advertising
An optimizer that trains as fast as Adam and as good as SGD.
a pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"
Fast and flexible AutoML with learning guarantees.
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced Deep Learning with Keras, published by Packt
Mostly experiments based on "Advances in financial machine learning" book
Notes on Advances in Financial Machine Learning
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Code for the NIPS2017 competition on adversarial examples
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.