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Python training for business analysts and traders
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance.
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
QuantStart.com - QSTrader backtesting simulation engine.
A Repository of Notebooks for the Python Lecture Site
Open source library for Quantitative Finance in C++.
Portfolio analytics for quants, written in Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Quantitative research and educational materials
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A unified framework for machine learning with time series
Lightning ⚡️ fast forecasting with statistical and econometric models
Statsmodels: statistical modeling and econometrics in Python
Python wrapper for TA-Lib (http://ta-lib.org/).
An Open Source Machine Learning Framework for Everyone
High-performance TensorFlow library for quantitative finance.
An interactive approach to understanding Machine Learning using scikit-learn
thOth is an open-source high frequency trading library in C++
Jupyter Notebooks Collection for Learning Time Series Models
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
C++ 17 based library (with sample applications) for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution.
Automatic extraction of relevant features from time series:
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Solutions.
Supercharged backtesting and technical analysis for quants
GUI-based Python code generator for data science, extension to Jupyter Lab, Jupyter Notebook and Google Colab.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Visual analysis and diagnostic tools to facilitate machine learning model selection.
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.