JKaiser009

JKaiser009's Stars

• theanh97/Deep-Reinforcement-Learning-with-Stock-Trading

  This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.

  Language:Jupyter Notebook4622

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28.9k1.4k

• jonatasgrosman/findpapers

  Findpapers: A tool for helping researchers who are looking for related works

  Language:Python22533

• afaqueumer/DocQA

  Question Answering with Custom FIles using LLMs

  Language:Python28884

• austin-starks/NextTrade

  A system that performs algorithmic trading

  Language:TypeScript1.3k213

• jlittek/Doppelkopf

  A python implementation of the German card game "Doppelkopf", often abbreviated as "Doko". The aim is to train strong computer players with reinforcement learning.

  Language:Python31