ml-course
Deep-Learning-Computer-Vision
ml-course | Deep-Learning-Computer-Vision | |
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8 | 1 | |
2,059 | 106 | |
2.4% | - | |
2.4 | 2.6 | |
3 days ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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ml-course
Deep-Learning-Computer-Vision
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Assignment solutions for Stanford CS231n and Michigan EECS 498-007/598-005
Here is the link to my GitHub repository.
What are some alternatives?
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cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
TabularSemanticParsing - Translating natural language questions to a structured query language
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.