torchani
Neural simulator
A PyTorch implementation of a neural network potential for molecular simulations
Accurate Neural Network Potential on PyTorch
464 stars
30 watching
128 forks
Language: Python
last commit: 23 days ago deep-learningforce-fieldmolecular-simulationneural-networkquantum-chemistryquantum-mechanics
Related projects:
| Repository | Description | Stars |
|---|---|---|
 pasqal-io/pyqtorch | A PyTorch-based simulator for quantum machine learning | 45 |
 ahmedfgad/torchga | Trains PyTorch models using the Genetic Algorithm | 95 |
 kaihsin/tor10 | A PyTorch-based tensor network library for quantum simulation | 60 |
 ypxie/pytorch-neucom | An implementation of the Differentiable Neural Computer architecture in PyTorch | 94 |
 project-dc/pygeneses | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
 achaiah/pywick | A PyTorch-based neural network training framework with advanced features and utilities | 398 |
 higgsfield/interaction_network_pytorch | An implementation of Interaction Networks for learning physical simulations and generalizing to novel systems | 131 |
 jingweiz/pytorch-dnc | An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. | 278 |
 ixaxaar/pytorch-dnc | An implementation of Differentiable Neural Computers and family for PyTorch, enabling scalable memory-augmented neural networks. | 338 |
 norse/norse | Deep learning framework for spiking neural networks | 673 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 ne7ermore/torch-light | A comprehensive PyTorch-based deep learning repository with examples and implementations of various models and techniques. | 535 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
 sinkingsugar/nimtorch | A Nim frontend for PyTorch, generating native ATen code for machine learning and artificial neural networks | 462 |
 akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |