watchsea Goto Github PK

automl

Google Brain AutoML

capsnet-gan-tensorflow

An experimental Generative Adversarial Network implementation of the Capsule Neural Network

capsule-model-forked-from-sarasra

Models and examples built with TensorFlow

capsules-em-routing

Matrix capsules with EM Routing - Tensorflow

ctc-executioner

Master Thesis: Limit order placement with Reinforcement Learning

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

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.

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

deeptrade_keras

google-research

Google AI Research

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

matrix-capsules-em-tensorflow

A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing

nbdev_template

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

puppeteer-study

study the puppeteer

py4fi

Python for Finance (O'Reilly)

q-trader

Deep Q-learning driven stock trader bot

rl-stock

📈 如何用深度强化学习自动炒股

stacked_capsule_autoencoders

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

tradinggym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

trd-capsule-tf

tsf-new-paper-taste

A code implementation of new papers in the time series forecasting field.

worldmodels

World Models with TensorFlow 2