Recurrent Neural Network Python Packages

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

continual-inference

A Python library for Continual Inference Networks in PyTorch

vision-mamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

edge2torch

Build sparsely connected PyTorch neural networks from prior-knowledge graphs, with optional feature- and node-level attribution.

neuralfields

A type of potential-based recurrent neural networks implemented with PyTorch

keras-layernorm-rnn

RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa

wavetorch

🌊 Numerically solving and backpropagating through the wave equation

pytorch-stream

A Python library for Continual Inference Networks in PyTorch

liquidnet

Implementation of Liquid Nets in Pytorch

torch-stream

A Python library for Continual Inference Networks in PyTorch