Stars
Python wrapper for an unofficial Yahoo Finance API
Live SPY Algorithmic Backed bots for Day Trading Stocks by utilizing ALPACA / IBrokers as the REST Agents.
My Algorithmic trading bots and strategies for Quantitative and High-Frequency trading in FinTech
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
An extensible framework for high-frequency trading built on top of Alpaca and Yahoo Finance.
This is a repository dedicated to an Algorithmic Trading Bot. Due to privacy concerns, I will not be posting the script I wrote which trades Alpaca API. However, all resources I have used, as well …
A bot that utilizes chatGPT and Gemini to trade stocks using Alpaca
Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.
a Robinhood day-trading bot using Python
FSL-Mate: A collection of resources for few-shot learning (FSL).
A physically based renderer which implements many state of the art techniques in light transport simulation, material modeling, sampling and reconstruction.
Gazebo/ROS packages for underwater robotics simulation
The main repository for the Hydra Flock Demo-Simulation
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
A simple building energy model written in Python.
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
Meta Reinforcement Learning Experiments
Taming MAML: efficient unbiased meta-reinforcement learning