Terabyte17/Autonomous-Environment-Mapping-Robot
Developed using Pybullet, OpenCV and Deep Learning

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Developed using Pybullet, OpenCV and Deep Learning

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Autonomous Robot Navigation using Tensorflow Incpetion V3 Image Recognition Engine and Robot Operating System (ROS)

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(no description)

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A curated list of papers of deep learning in autonomous driving papers

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This is my Master Project done during my internship at German Research Center for AI

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Developing the ROS (Robot Operating System) features and Node.js UI for a mobile robot that will be used for marketing, surveillance and entertainement purpose.

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Published by Packt Publishing

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Train a Pioneer 3ds robot to move on its own with deep q learning implementation in Python. The environment is built in VREP

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Image Segmentation using OpenCV (and Deep Learning)

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Learning Deep Features for Discriminative Localization (2016)

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Captcha-Solver πŸ‚

Decoding Captchas using Deep Learning, CNNs and OpenCv

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Implementation of OpenCV and YOLO face detection. You only look once (YOLO) is a state-of-the-art, real-time object detection system based on Deep Learning.

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OpenCV and YOLO object and face detection is implemented. You only look once (YOLO) is a state-of-the-art, real-time object detection system. It is based on Deep Learning.

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This package was created an environment for UR5 learn how to play the Golf with Deep reinforcement Learning algorithm.

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Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

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