nmp_qc

Graph neural network library

An implementation of neural networks on graph structures for learning molecular properties

Our own implementation of Neural Message Passing for Computer Vision paper

GitHub

340 stars
17 watching
81 forks
Language: Python
last commit: over 6 years ago

Related projects:

RepositoryDescriptionStars
molcik/python-neuronA Python library for implementing and training various neural network architectures40
liqimai/gcnAn implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.45
google-deepmind/jraphA lightweight library for working with graph neural networks in jax.1,380
nikolaypavlov/mlpneuralnetA fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration.900
benedekrozemberczki/appnpA PyTorch implementation of a graph neural network model that learns personalized node representations367
nutszebra/prelu_netAn implementation of a deep neural network architecture designed to surpass human-level performance on image classification tasks.12
graph4ai/graph4nlpA Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks.1,676
tensorflow/gnnBuilds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.1,372
zueve/neurolabA Python library for building and training neural networks.163
ahmedfgad/numpyannAn implementation of artificial neural networks using NumPy98
jczic/micromlpA lightweight implementation of a multilayer perceptron neural network for use in embedded systems and microcontrollers183
kimhc6028/relational-networksA PyTorch implementation of a neural network module for relational reasoning in computer vision tasks809
itdxer/neupyA Python library for prototyping and building neural networks using TensorFlow as a backend739
benedekrozemberczki/mixhop-and-n-gcnA deep learning framework implementation of higher-order graph convolutional architectures and their applications403
acrylicshrimp/tinnetA compact C++17-based deep learning library designed to simplify the implementation of neural networks.16