TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.
The main features of jalexvig/associative_compression_networks are: To be Classified.
Open-source alternatives to jalexvig/associative_compression_networks include: alexis-jacq/pytorch-sketch-rnn. c0nn3r/pytorch_highway_networks. e-lab/pytorch-cortexnet. edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch. jingweiz/pytorch-dnc — Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network…