-
Embotech AG
- Zurich, Switzerland
- matssteinweg.github.io
Stars
Static reflection for enums (to string, from string, iteration) for modern C , work with any enum type without any macro or boilerplate code
Motion planning algorithms commonly used on autonomous vehicles. (path planning path tracking)
Hybrid A* Path Planner for the KTH Research Concept Vehicle
A list of references on lidar point cloud processing for autonomous driving
Machine Learning in Finance: From Theory to Practice Book
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…
Scalable, event-driven, deep-learning-friendly backtesting library
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, dat…
This is a Python SDK for accessing the Lemon Markets API.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Data Apps & Dashboards for Python. No JavaScript Required.
An easy and fast way to create a Python GUI 🐍
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
This is a list of awesome demos, tutorials, utilities and overall resources for the robotics community that use MATLAB and Simulink.
MATLAB and Simulink utilities for vehicle kinematics, visualization, and sensor simulation.
C implementation of Gmapping for Turtlebot3 in ROS.
Hands-on Deep Reinforcement Learning, published by Packt
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A minimalist environment for decision-making in autonomous driving
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.