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deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

distributional_rl

Repository for studying distributional rl

hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

mader

Trajectory Planner in Multi-Agent and Dynamic Environments

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

myrl_example

paper_quality_plot.matlab

paper_quality_plot.matlab

pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm

pythonrobotics

Python sample codes for robotics algorithms.

redq_simple_example

A simple example of randomized ensembled double q learning

semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

simple-dvmpc-implemetation

simple_mpc_test

stylize-datasets

A script that applies the AdaIN style transfer method to arbitrary datasets

symforce

Fast symbolic computation, code generation, and nonlinear optimization for robotics

taxisimulatorongraph

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov8_cpp_inference_opencv_onnx