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Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  •    Jupyter

Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations. I code LSTM Recurrent Neural Network and Simple signal rolling agent inside Tensorflow JS, you can try it here, huseinhouse.com/stock-forecasting-js, you can download any historical CSV and upload dynamically.

TerraSim - a simulated environment


TerraSim is a flexible simulation server. Designed for usage in AI research, it is specifically built to allow agents to learn and reason about the world's intrinsic workings. TerraSim also allows for simple creation of new, user defined worlds.

Hands-On-Intelligent-Agents-with-OpenAI-Gym - Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

  •    Python

HOIAWOG!: Your guide to developing AI agents using deep reinforcement learning. Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator.

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