Mohsen's starred repositories
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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.
metatrader5
Implementation of Trading Strategies for Backtesting in MetaTrader 5
AC-SUM-GAN
A PyTorch Implementation of AC-SUM-GAN from "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization" (IEEE TCSVT 2021)
reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Influence-Maximization
Code and data for experiments with evolutionary influence maximization
rl-stock-trading
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application
RL-Project-2019
Reimplementation of RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion