nmp_qc
by priba
Our own implementation of Neural Message Passing for Computer Vision paper
AI summary
Graph neural network library
An implementation of neural networks on graph structures for learning molecular properties
- stars
- 340
- forks
- 81
- watching
- 17
Similar projects
Found by comparing what the projects do, not just their names.
Neural Network Library
A Python library for implementing and training various neural network architectures
Graph neural network library
An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.
Graph library
A lightweight library for working with graph neural networks in jax.
Neural network library
A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration.
Graph Neural Network Model
A PyTorch implementation of a graph neural network model that learns personalized node representations
Deep learning model
An implementation of a deep neural network architecture designed to surpass human-level performance on image classification tasks.
NLP library
A Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks.
tensorflow/gnn1.4K
Graph Network Library
Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.
Neural network library
A Python library for building and training neural networks.
Neural network library
An implementation of artificial neural networks using NumPy
Neural Network Library
A lightweight implementation of a multilayer perceptron neural network for use in embedded systems and microcontrollers
Relational Network Model
A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks
itdxer/neupy739
Neural network prototype library
A Python library for prototyping and building neural networks using TensorFlow as a backend
Graph CNN
A deep learning framework implementation of higher-order graph convolutional architectures and their applications
Neural network library
A compact C++17-based deep learning library designed to simplify the implementation of neural networks.