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The most cited deep learning papers
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
This curated list contains python packages for time series analysis
Abe: block browser for Bitcoin and similar currencies
My journey to build an artificially intelligent cryptocurrency trading bot. *Don't actually use unless you want to lose all your money*
Cryptocurrency exchange market data feed handler (Poloniex, Bittrex, Bitstamp, BTCC, Bitfinex, BitMEX, Gatecoin, GDAX, Huobi, Kraken, OkCoin, Quoine)
A framework for logging, simulating, and analyzing prices of crypto currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.
Machine learning for high frequency bitcoin price prediction
trade bot for QtBitcoinTrader
Набор скриптов для сохранения данных публичного API с криптовалютной биржи BTC-E
Python wrapper around the public and trading APIs of BTC-e.com
Library to support building trading bots for the BTC-e cryptocurrency exchange.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
A JavaScript / Python / PHP cryptocurrency trading library with support for more than 90 bitcoin/altcoin exchanges
ChatSecure is a free and open source encrypted chat client for iOS that supports OTR and OMEMO encryption over XMPP.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
A list of online resources for quantitative modeling, trading, portfolio management
:books: Freely available programming books
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Grandma-Friendly Atomic Swaps
A comprehensive list of decentralized exchanges (DEX) of cryptocurrencies, tokens, derivatives and futures, and their protocols.
A Jekyll blog theme using two nifty features, particles.js and the jekyll-paginate-v2 plugin.
Massively by HTML5 UP
Listed Volatility and Variance Derivatives (Wiley Finance)
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.