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A curated list of awesome Deep Learning tutorials, projects and communities.
Cracking The Code Interview Book
Kaggle Contest 101
High Performance Inter-Thread Messaging Library
Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers
Node.js connector for the FTX.com & FTX.us APIs and WebSockets, with TypeScript & browser support.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Node Binance API is an asynchronous node.js library for the Binance API designed to be easy to use.
An Interview Primer for Quantitative Finance
For an introductory tutorial on how to use Jenkins to build a simple Java application with Maven.
Computation using data flow graphs for scalable machine learning
TypeScript client for dYdX (v3 API).
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.