Deep-Learning-Computer-Vision VS pytorch-implementations

Compare Deep-Learning-Computer-Vision vs pytorch-implementations 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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pytorch-implementations

A collection of paper implementations using the PyTorch framework (by jaygala24)
Pytorch paper-implementations Deep Learning Machine Learning Computer Vision Natural Language Processing
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Deep-Learning-Computer-Vision pytorch-implementations
1 1
106 23
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2.6 0.0
about 3 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
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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.

pytorch-implementations

Posts with mentions or reviews of pytorch-implementations. We have used some of these posts to build our list of alternatives and similar projects.
  • Paper Implementations using PyTorch
    1 project | /r/learnmachinelearning | 11 Jun 2021
    I have created a git repository that contains a collection of pytorch notebooks implementing different deep learning papers. These notebooks were created by me during my learning process and hopefully would help others play around with the concepts related to the papers. Here is the link: https://github.com/jaygala24/pytorch-implementations

What are some alternatives?

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

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

autogluon - Fast and Accurate ML in 3 Lines of Code

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]

conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.

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

ml-mipt - Former repository of ML course. Redirect link included

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

ml-course - Open Machine Learning course

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

paper-implementations - Attempts to implement various deep learning, computer vision papers.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Deep-Learning-Computer-Vision vs cs231n pytorch-implementations vs autogluon Deep-Learning-Computer-Vision vs stanford-CS229 pytorch-implementations vs conformal-prediction Deep-Learning-Computer-Vision vs ktrain pytorch-implementations vs ml-mipt Deep-Learning-Computer-Vision vs computervision-recipes pytorch-implementations vs ml-course Deep-Learning-Computer-Vision vs Face-Mask-Detection pytorch-implementations vs paper-implementations Deep-Learning-Computer-Vision vs HugsVision Deep-Learning-Computer-Vision vs ml-mipt