This is a repo with links to everything you'd ever want to learn about data engineering

Code for Machine Learning for Algorithmic Trading, 2nd edition.

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Kolmogorov Arnold Networks

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Implementation of all RL algorithms in a simpler way

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Ipython notebooks for math and finance tutorials

The repository is for safe reinforcement learning baselines.

Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

Arm Machine Learning tutorials and examples

This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

ROS 2 implementation of robotics algorithms based on the Probabilistic Robotics book

Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

control barrier function examples

A collection of Jupyter/IPython notebooks that implement quadrotor control schemes in an expository manner

numerical simulation with path integral