AI · alternatives · 2026
24 alternatives to Image Processing in Cellular Neural Networks with Python
Image Processing with Cellular Neural Networks in Python - ankitaggarwal011/PyCNN
PyCNN is a Python library for image processing using cellular neural networks, a type of artificial intelligence architecture. It is designed for developers and researchers who need to perform image analysis and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Image Processing in Cellular Neural Networks with Python launched in 2015; newer entries below may have overtaken it.
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Neural Network to colorize grayscale images. Contribute to pavelgonchar/colornet development by creating an account on GitHub.
2016 · github.com · its alternatives →
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TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
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The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.
2020 · github.com · its alternatives →
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A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
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Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.
2020 · thinc.ai · its alternatives →
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Trains a Hopfield recurrent neural network to recognize colors and uses it to interpret images. - mateogianolio/hopfield-colors
2015 · github.com · its alternatives →
- 9GC
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
2016 · tkipf.github.io · its alternatives →
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Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
2018 · github.com · its alternatives →
- 11N5
2020 · nn-512.com · its alternatives →
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A handwritten multilayer perceptron classifer using numpy. - meetvora/mlp-classifier
2016 · github.com · its alternatives →
- 13IA
An introduction to building a basic feedforward neural network with backpropagation in Python.
2018 · enlight.nyc · its alternatives →
- 14NN
Free to use online neural network photo to painting generator.
2015 · instapainting.com · its alternatives →
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TensorFlow CNN for fast style transfer ⚡🖥🎨🖼. Contribute to lengstrom/fast-style-transfer development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Sonnet▲134A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
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Purely functional artificial neural network library implemented in Haskell. - jbarrow/LambdaNet
2014 · github.com · its alternatives →
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Paint artistic patterns using random neural network
2016 · github.com · its alternatives →
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Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network - anantzoid/Conditional-PixelCNN-decoder
2016 · github.com · its alternatives →
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An online course on how to detect objects in real time
2019 · lode88vn.skin · its alternatives →
- 21AV
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
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I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
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A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
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