mohsenghq

mohsenghq's Stars

• swyang50066/rl-stock-trading

  WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application

  Language:Jupyter Notebook156

• apoorvkhattar/RL-Project-2019

  Reimplementation of RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

  Language:Jupyter Notebook92

• e-apostolidis/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)

  Language:Python2810

• mkava98/python_tutorial

  Language:Jupyter Notebook1

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.3k604

• geraked/metatrader5

  Implementation of Trading Strategies for Backtesting in MetaTrader 5

  Language:MQL57724

• sergio12S/youtoube

  Language:Jupyter Notebook8446

• timesler/facenet-pytorch

  Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

  Language:Python4.4k945

• borisbanushev/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.

  4.1k1.6k

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python6.9k1.2k

• facebookresearch/nougat

  Implementation of Nougat Neural Optical Understanding for Academic Documents

  Language:Python8.7k560

• makaveli10/reinforcementLearning

  Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

  Language:Jupyter Notebook254

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.9k2.3k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k4.8k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k6k

• albertotonda/Influence-Maximization

  Code and data for experiments with evolutionary influence maximization

  Language:Python166