kyawkyawkhaing Goto Github PK

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

deep-learning-specialization-coursera

A deep learning specialization series of 5 courses offered by Andrew Ng at Coursera

deep-learning-specialization-coursera-1

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

deep-reinforcement-learning-application-in-finance

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

deepdow

Portfolio optimization with deep learning.

deeptrading

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

dlaicourse

Notebooks for learning deep learning

do101-apps

finance-and-risk-management

applications for risk management through computational portfolio construction methods

financial-news-for-stock-prediction-using-dp-lstm-nips-2019

Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

hello-nodejs

intro-to-dl

Resources for "Introduction to Deep Learning" course.

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).

portfolio_optimization

practical-reinforcement-learning

py-quantmod

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

stock-prediction

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

stock-price-anfis

An ANFIS Model for Stock Price Prediction

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.