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24 alternatives to A library to build graph neural networks in Keras

Spektral: Graph Neural Networks in TensorFlow 2 and Keras

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A library to build graph neural networks in Keras launched in 2019; newer entries below may have overtaken it.

1
Spektral – Deep learning on graphs with Keras▲67
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
2
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
3
Sonnet▲134
A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
4
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
5GC
Graph Convolutional Networks – Intro to neural networks on graphs▲106
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 →
6
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
7
Tensorflow Implementation of Graph Convolutional Network▲5
Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
2017 · github.com · its alternatives →
8
TensorFlow▲17
An Open Source Library for Machine Intelligence (by Google)
2015 · tensorflow.org · its alternatives →
9
Deep Learning With Keras▲6
Deep Learning With Keras And Convolutional Neural Networks
2018 · amazon.com · its alternatives →
10
TensorFlow▲3
A Neural Network Playground
2016 · playground.tensorflow.org · its alternatives →
11
PyTorch▲5
Tensors and dynamic neural networks in Python
2017 · pytorch.org · its alternatives →
12
KANN – mid-scale deep learning and autodiff in ANSI C (4 files; 4k LOC)▲5
A lightweight C library for artificial neural networks - attractivechaos/kann
2018 · github.com · its alternatives →
13
TensorFire▲99
Blazing-fast in-browser neural networks
2017 · tenso.rs · its alternatives →
14
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
15
The Math of Neural Networks▲5
A Visual Introduction For Beginners
2017 · amazon.com · its alternatives →
16
KGCNs – Machine Learning over Knowledge Graphs with TensorFlow▲10
2019 · github.com · its alternatives →
17
Neural Painter▲85
Paint artistic patterns using random neural network
2016 · github.com · its alternatives →
18
yggy▲83
The AI knowledge graph that builds itself
11d ago · app.yggy.tech · its alternatives →
19
Make Your Own Neural Network▲6
An In-depth Visual Introduction For Beginners
2017 · amazon.com · its alternatives →
20
Talking Machines - Solving intelligence and machine learning fundamentals▲56
Guest: Nando de Freitas (Oxford, Google DeepMind)
2015 · thetalkingmachines.com · its alternatives →
21
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym▲58
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
22IT
Introduction to Recurrent Networks in TensorFlow▲6
2016 · danijar.github.io · its alternatives →
23
TensorFlow Hub▲8
GitHub for TensorFlow machine learning models
2018 · tensorflow.org · its alternatives →
24
Talking Machines: OpenAI and Gaussian Processes▲56
Featuring Ilya Sutskever, director of research for OpenAI
2016 · thetalkingmachines.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →