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handling 1M websockets connections in Go
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Source code for 'Automated Trading with R' by Christopher Conlan
All CPU and MCU documentation in one place
Bayesian Analysis with Python by Packt
Bayesian Data Analysis demos for R
Illustrating the Chernozhukov-Hong (2003) MCMC approach to classical estimation.
This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.
Volatility surface explorer in pure Python
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
Practical assignments of the Deep|Bayes summer school 2019
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.
Rede Neural aplicada ao jogo do Dinossauro do Google Chrome!
DX Analytics | Financial and Derivatives Analytics with Python
Collection of notebooks about quantitative finance, with interactive python code.
Mashup Font of FiraCode and Script12
Material for "Drawing Anything with ggplot2" workshop
Basic MVC Web Application in Go
Go Web Programming code repository
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Download all video files from HLS (HTTP Live Streaming) VoD (Video on Demand) m3u8 playlist for local playback
Automatically exported from code.google.com/p/hmmds
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Source code for https://www.youtube.com/playlist?list=PLvKAPIGzFEr8n7WRx8RptZmC1rXeTzYtA
Lime: Explaining the predictions of any machine learning classifier
Code for visualizing the loss landscape of neural nets
long short-term memory for recursive neural network model
:earth_americas: machine learning tutorials (mainly in Python3)
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.