Deep-Learning-Computer-Vision VS ml-course

Compare Deep-Learning-Computer-Vision vs ml-course and see what are their differences.

Deep-Learning-Computer-Vision

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020. (by seloufian)
Computer Vision visual-recognition Machine Learning Deep Learning convolutional-neural-networks Python Numpy Pytorch assignment stanford michigan cs231n cs231n-assignment eecs498-007
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ml-course

Open Machine Learning course (by girafe-ai)
Machine Learning Python Course Deep Learning Pytorch Natural Language Processing reinforcement-learning Computer Vision Materials seminars
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Deep-Learning-Computer-Vision ml-course
1 8
106 2,047
- 1.9%
2.6 2.4
about 3 years ago 11 days ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Deep-Learning-Computer-Vision

Posts with mentions or reviews of Deep-Learning-Computer-Vision. We have used some of these posts to build our list of alternatives and similar projects.

ml-course

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What are some alternatives?

When comparing Deep-Learning-Computer-Vision and ml-course you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

pytorch-implementations - A collection of paper implementations using the PyTorch framework

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]

IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

TabularSemanticParsing - Translating natural language questions to a structured query language

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

Deep-Learning-Computer-Vision vs cs231n ml-course vs pytorch-implementations Deep-Learning-Computer-Vision vs stanford-CS229 ml-course vs IJCAI2023-CoNR Deep-Learning-Computer-Vision vs ktrain ml-course vs Subway-Station-Hazard-Detection Deep-Learning-Computer-Vision vs computervision-recipes ml-course vs TabularSemanticParsing Deep-Learning-Computer-Vision vs Face-Mask-Detection ml-course vs Made-With-ML Deep-Learning-Computer-Vision vs pytorch-implementations ml-course vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning