📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
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📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
An x-cursor theme inspired by macOS and based on KDE Breeze. Designed to pair well with my icon pack, La Capitaine.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Scalable, event-driven, deep-learning-friendly backtesting library
Untitled Goose Tool is a robust and flexible hunt and incident response tool that adds novel authentication and data gathering methods in order to run a full investigation against a customer’s Azure Active Directory (AzureAD), Azure, and M365 environments.
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
An add-on for Blender allowing to create URDF, SDF and SMURF robot models in a WYSIWYG environment.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Sandboxed Execution Environment
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Framework for Making Environmental Keyed Payloads (NO LONGER SUPPORTED)
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Directions overlay for working with pandas in an analysis environment
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
Unmanned Surface Vehicle simulation on Gazebo with water current and winds
A learning environment for Python suited for beginners and children, inspired by Logo.
RELATE is an Environment for Learning And TEaching
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
A generic interface for the environmental perception of automated driving functions in virtual scenarios.