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Fig adds autocomplete to your terminal.
A curated list of awesome Deep Learning tutorials, projects and communities.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
These are the code for the article "Backtrader for Backtesting (Python) – A Complete Guide" on AlgoTrading101's Blog. Article and code are written by Jignesh Davda.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Accelerated DL R&D
Tool for packaging Dart programs into standalone executables
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repo for the Deep Reinforcement Learning Nanodegree program
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A lightweight workspace manager for the shell
Code for the Deep Learning with PyTorch lesson
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Running Flask on Docker Swarm
A Google Charts API for Python, meant to be used as an alternative to matplotlib.
Command-line interface to HabitRPG
Command-line interface to Habitica
Sixel
Python sync/async framework for Interactive Brokers API
Technical analysis, historical analysis, price simulation using random walk & monte carlo, visualizations using ggplot and plotly
Package based on the textbooks: Advances in Financial Machine Learning and Machine Learning for Asset Managers, by Marcos Lopez de Prado.
Modin: Speed up your Pandas workflows by changing a single line of code
An example algorithm for a momentum-based day trading strategy.
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.