Stars
SNN library based on TensorFlow (internal)
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。
Quantized Memory-Augmented Neural Networks (AAAI-18)
training SNN using voxel grid based preprocessing by snntorch and tonic
An Analysis of Preprocessing Effect on SNN Training with Event Data
Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22
Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
A Software Framework for Neuromorphic Computing
[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Benchmark framework of synaptic device technologies for a simple neural network
Simple Tensorflow 2.x Cookbook for easy-to-use
Models and examples built with TensorFlow
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
PyTorch implementation of SLAYER for training Spiking Neural Networks
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
Simulation of spiking neural networks (SNNs) using PyTorch.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
My C++ deep learning framework & other machine learning algorithms
Verilog to Routing -- Open Source CAD Flow for FPGA Research
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA (DATE-19)