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scikit-learn: machine learning in Python
iversity course -- python implementation
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The fundamental package for scientific computing with Python.
OptionValuation - FiniteDifferenceMethods Implicit &Explicit- Binomial, BlackScholes,
Go implementation of the Ethereum protocol
Amazon EC2 instance comparison site
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
Just for Fun - Not for Quant Trading and Research
Models and examples built with TensorFlow
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Interactive Data Visualization in the browser, from Python
TensorFlow's Visualization Toolkit
Google Cloud Client Libraries for Python
Python based Quant Finance Models, Tools and Algorithmic Decision Making
Repository of essential, basic, C++ functions
Big Data Implementations - Quantitative_Research
Quant Portfolio Approach to Alpha Generation and Retention
C++ code: Manipulating data and extracting useful outputs
Machine Learning Techniques to extract useful forecasts, conclusions and decision making in Quant Finance
Matlab code and tools for Quant Research, Data Manipulation and Robust Decision Making
Transfer learning algorithm TrAdaboost,coded by python
Python code for training fair logistic regression classifiers.
Matlab code of machine learning algorithms in book PRML
A collection of Kaggle solutions. Not very polished.