Lynn Nassif (lynassif)

lynassif

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BMW-InnovationLab

Lynn Nassif's starred repositories

rse_prob_robotics

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

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direct_lidar_odometry

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

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world-creator

LLM-based CLI utility for simulation worlds creation.

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rosbridge_server_cpp

c++ rosbridge server

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ROS_and_Experimental_Robotics

ROS class, Sorbonne Université (Robotics MSc)

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BMW-Labeltool-Lite

This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

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darknet

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

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BMW-TensorFlow-Inference-API-CPU

This is a repository for an object detection inference API using the Tensorflow framework.

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BMW-TensorFlow-Training-GUI

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

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BMW-TensorFlow-Inference-API-GPU

This is a repository for an object detection inference API using the Tensorflow framework.

Language:PythonLicense:Apache-2.0Stargazers:312Issues:0Issues:0

BMW-YOLOv4-Inference-API-GPU

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

Language:PythonLicense:BSD-3-ClauseStargazers:280Issues:0Issues:0

BMW-YOLOv4-Inference-API-CPU

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

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BMW-YOLOv4-Training-Automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

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