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Converts .py to .exe using a simple graphical interface
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
View this app live at:
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Using deep actor-critic model to learn best strategies in pair trading
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Summaries and notes on Deep Learning research papers
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
A list of online resources for quantitative modeling, trading, portfolio management
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
Python library to download market data via Bloomberg, Quandl, Yahoo etc.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Gaussian process regression demo in Javascript
Gaussian processes in TensorFlow
This is where I store ideas, resources or share and discuss things with others.
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.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Deep Reinforcement Learning for Keras.
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Systematic Trading in python
QuantStart.com - Advanced Trading Infrastructure
Reinforcement Learning for Portfolio Management
The QuantLib C++ library
The QuantLib extension modules
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
High-performance TensorFlow library for quantitative 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.