ml-mipt VS Deep-Learning-Computer-Vision

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

ml-mipt

Former repository of ML course. Redirect link included (by girafe-ai)
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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-mipt Deep-Learning-Computer-Vision
18 1
8 106
- -
0.0 2.6
over 1 year ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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ml-mipt

Posts with mentions or reviews of ml-mipt. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

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.

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

MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples

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]

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

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

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

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

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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.

ml-mipt vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning Deep-Learning-Computer-Vision vs cs231n ml-mipt vs MachineLearningWithPython Deep-Learning-Computer-Vision vs stanford-CS229 ml-mipt vs mlops-course Deep-Learning-Computer-Vision vs ktrain ml-mipt vs pytorch-implementations Deep-Learning-Computer-Vision vs computervision-recipes ml-mipt vs d2l-en Deep-Learning-Computer-Vision vs Face-Mask-Detection ml-mipt vs Made-With-ML Deep-Learning-Computer-Vision vs pytorch-implementations