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auto-py-to-exe

Converts .py to .exe using a simple graphical interface

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

dash-goldman-sachs-report-demo

View this app live at:

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deep_portfolio

deep_trader

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.

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

elitequant_python

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.

findatapy

Python library to download market data via Bloomberg, Quandl, Yahoo etc.

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

gp-demo-js

Gaussian process regression demo in Javascript

gpflow

Gaussian processes in TensorFlow

hello-world

This is where I store ideas, resources or share and discuss things with others.

kalman-and-bayesian-filters-in-python

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.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-rl

Deep Reinforcement Learning for Keras.

openai-gym-policy-gradient

Reinforcement Learning using Policy Gradient to solve OpenAI Gym games

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pysystemtrade

Systematic Trading in python

qstrader

QuantStart.com - Advanced Trading Infrastructure

qtrader

Reinforcement Learning for Portfolio Management

quantlib

The QuantLib C++ library

quantlib-swig

The QuantLib extension modules

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

tf-quant-finance

High-performance TensorFlow library for quantitative finance.