tonmoy-ts Goto Github PK

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

advml-traffic-sign

Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

awesome-control-theory

Awesome resources for learning control theory

bosch-traffic-sign-detection-yolov3

Traffic Sign Detection using the state-of-the-art YOLOv3 object detection algorithm on Bosch Small Traffic Sign Dataset.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

eiquadprog

C++ reimplementation of eiquadprog

github-slideshow

A robot powered training repository :robot:

graph-adversarial-learning

A curated collection of adversarial attack and defense on graph data.

hyper_param-optim

mixed_autonomy_intersections

[ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections

nano_build_opencv

Build OpenCV on Nvidia Jetson Nano

object-detection-adversarial-attack

Traffic signs detection model against physical adversarial attacks

reinforcement-learning-sumo

Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework

scaledyolov4

self-driving-car

The Udacity open source self-driving car project

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

sumo-example

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gym, PettingZoo, and popular RL libraries.

traci4matlab

An implementation of the Traffic Control Interface for Matlab

traffic-light-classifier_faster-r-cnn

Traffic Light Classifier using Faster R-CNN: Using TensorFlow Object Detection API, I will walk you all through on how I built a traffic light classifier in Programming a Real Self-Driving Car.

traffic-light-detection-using-yolov3

Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3

trafficsigngan

Augmenting existing datasets of traffic signs by using a Generative Adversarial Network to create synthetic images that will increase the accuracy and generalization ability of classification models.

trainyourownyolo

Train a state-of-the-art yolov3 object detector from scratch!

trajectory-extractor

Python implementation of a simple vehicle trajectories extractor from traffic cameras

waymo-open-dataset

Waymo Open Dataset

yolov4-custom_training

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-custom-dataset-in-local-machine