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pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

pandas-technical-indicators

Technical Indicators implemented in Python using Pandas

paperbroker

An open source simulated options brokerage and UI for paper trading, algorithmic interfaces and backtesting.

persimmon

A visual dataflow programming language for sklearn

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pyno

Python-based visual programming

pythonic

Trading platform for digital currencies

qtnodes

:twisted_rightwards_arrows: Node graph visualization and editing with PySide.

rad_version_python

Implementation of Robust PCA and Robust Deep Autoencoder over Time Series

real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

reinforcementlearning-algotrading

Code for thesis project on applying reinforcement learning to algorithmic trading

rl-finance

CAIS++ Spring 2019 Project: Building an Agent to Trade with Reinforcement Learning

rna-seq-analysis

RNAseq analysis notes from Ming Tang

robots

robust-pca

Robust Principal Component Analysis in Haskell using HMatrix

robust_trading.icml2019

Code repo for "Robust Trading via Adversarial Reinforcement Learning"

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

securityonion-ansible-playbooks

Ansible Playbooks for Security Onion Deployment to VMware ESXi

simple-sentence-similarity

Exploring the simple sentence similarity measurements using word embeddings

snail-pytorch

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

spark-bdp-stockticker-demo

A Python project that demonstrates Apache Spark on the Basho Data Platform

sparkmlpdow30

A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_predict_with_lstm

stock_predict_with_LSTM

supermotor

:factory: Automatically detect the motor's weakness or abnormality.

tensorflow

Computation using data flow graphs for scalable machine learning

ticc

trading-brain

Framework for deep learning in Trading-Gym environment

trading-rl

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019