NST-AI-to-create-art VS Deep-Learning-Computer-Vision

Compare NST-AI-to-create-art vs Deep-Learning-Computer-Vision and see what are their differences.

NST-AI-to-create-art

NST was first introduced in 2015 paper it took advantage of how convolution neural network works to generate art (by MightyStud)
neural-style-transfer convolutional-neural-networks vgg19 Python Pytorch egypt

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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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NST-AI-to-create-art Deep-Learning-Computer-Vision
1 1
2 106
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5.5 2.6
about 2 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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NST-AI-to-create-art

Posts with mentions or reviews of NST-AI-to-create-art. 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 NST-AI-to-create-art and Deep-Learning-Computer-Vision you can also consider the following projects:

YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow

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

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

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]

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

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

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

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

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

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

ml-course - Open Machine Learning course

NST-AI-to-create-art vs YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow Deep-Learning-Computer-Vision vs cs231n NST-AI-to-create-art vs coursera-deep-learning-specialization Deep-Learning-Computer-Vision vs stanford-CS229 NST-AI-to-create-art vs gan-vae-pretrained-pytorch Deep-Learning-Computer-Vision vs ktrain Deep-Learning-Computer-Vision vs computervision-recipes Deep-Learning-Computer-Vision vs Face-Mask-Detection Deep-Learning-Computer-Vision vs pytorch-implementations Deep-Learning-Computer-Vision vs HugsVision Deep-Learning-Computer-Vision vs ml-mipt Deep-Learning-Computer-Vision vs ml-course