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kombu

Messaging library for Python.

kungfu

Kungfu Master Trading System

learn_cpp_in_30_minutes

walk through the core knowledge of cpp

libtorchtrade

RL BTC trader written in C++ using libtorch

lob

Benchmark Dataset of Limit Order Book in China Markets

marketvectors

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

math_for_machine_learning

mbt_gym

mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL)

mc3_p3

ML4T Q learning project

minimal-cpp-library-template

minimal cpp library template

minitorch

The full minitorch student suite.

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

mlfinlab-1

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

modern-cpp-template

A template for modern C++ projects using CMake, Clang-Format, CI, unit testing and more, with support for downstream inclusion.

monte-carlo-tree-search

Monte carlo tree search in python

multi-armed-bandit-rl

C++ implementation of Multi-Armed Bandits (Gaussian and Bernoulli)

multi-armed-bandits

In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.

muzero-cpp

A C++ pytorch implementation of MuZero

muzero-pytorch

Pytorch Implementation of MuZero

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2.pytorch

image captioning model in pytorch

npwg_zh

Network programming with Go 中文翻译版本

optimal-control-and-reinforcement-learning

optimal-execution-deep-reinforcement-learning

Execute the trading instruction as best as possible given a short time horzion with a deep reinforcement learning approach

optimal-order-execution

:arrows_counterclockwise: Exploring Optimal Order Execution in Simulated Limit Order Books

optimal_execution_almgren_and_chriss_model

Almgren and Chriss Model For Optimal Execution of Portfolio Transactions

orderbook_simulator

A simple, extensible implementation of the limit order book.

pandas_practice_in_financial_domain

parallelism_and_concurrency_in_python

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning.