ML Wiz's repositories
experiments
Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning
benzinga_movers_scraper
Web Scraper for Pulling Stock Movement Headlines From Benzinga
aws-cloudformation-templates
A collection of useful CloudFormation templates
Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
causal_data_science
This is the companion GitHub repository for the talk on causal data science
StarTrader
This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
crypto-arbitrage-framework
A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.
azure-quickstart-templates
Azure Quickstart Templates
cnn
Using fastai and CNNs to predict stock prices
Trading-Gym
A Trading environment base on Gym
machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
COUNTERFACTUAL-REGRET-MINIMIZATION-1
Implemented the CFR+ and PureCFR algorithms in Python to find the optimal strategies to 2-player extensive-form games, which was also used in Libratus, the best poker AI in the world
IBAPI-tools
Useful utilities to use with the IB API
pysystemtrade
Systematic Trading in python
qtpylib
QTPyLib, Pythonic Algorithmic Trading
SMBLibrary
Free, Open Source, User-Mode SMB 1.0/CIFS, SMB 2.0 and SMB 2.1 Server Library
SlackAPI
.NET Implementation of the Slack team communication platform API.
research-1
Contains all the Jupyter Notebooks used in our research
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
BayesianRL
Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
btgym
Scalable, event-driven, deep-learning-friendly backtesting library