Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
MIT License
TPAMI 2022
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reprod...
Biologically based dynamics for machine learning and deep learning tools for neuroscience.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on ...
Simulation of spiking neural networks (SNNs) using PyTorch.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Pipeline for training NER models using PyTorch.
A toolbox of commonly used deep learning components, procedures and applications
Deep and online learning with spiking neural networks in Python
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lig...
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framewor...
Deep learning with spiking neural networks (SNNs) in PyTorch.
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.