neural-style-transfer VS cs231n

Compare neural-style-transfer vs cs231n and see what are their differences.

neural-style-transfer

:paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm (by egesabanci)
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neural-style-transfer cs231n
1 1
1 42
- -
3.6 0.0
almost 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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neural-style-transfer

Posts with mentions or reviews of neural-style-transfer. We have used some of these posts to build our list of alternatives and similar projects.
  • Neural Style Transfer in a Most Simple Way
    1 project | dev.to | 17 Jun 2021
    OK, I will let you see the code in a second but I want to give some instructions before starting. I will continue to explain the "Neural Style Transfer" implementation that I have made (You can access the codes from this link). We will continue with the codes and the mathematical background of the algorithm at the same time. So, don't be confused! Please stay on the right track, Sir!

cs231n

Posts with mentions or reviews of cs231n. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-style-transfer and cs231n you can also consider the following projects:

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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.

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]

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image

deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

DeepLearning - Contains all my works, references for deep learning

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction

machinehearing - Machine Learning applied to sound