jorden3502's Stars
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
HuuYuLong/Complementary-LIF
Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)
RuokaiYin/MINT_Quantization
MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award
Intelligent-Computing-Lab-Yale/EfficientLIF-Net
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
hughperkins/VeriGPU
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
PeaBrane/Pleiades
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
YanjingLi0202/Q-ViT
The official implementation of the NeurIPS 2022 paper Q-ViT.
Jzz24/pytorch_quantization
A pytorch implementation of dorefa quantization
ZouJiu1/LSQplus
LSQ+ or LSQplus
Intelligent-Computing-Lab-Yale/NDA_SNN
Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
htqin/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
wangxiao5791509/SNN_CV_Applications_Resources
Paper list for SNN based computer vision tasks.
AXYZdong/awesome-snn-conference-paper
🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码,正在持续更新中。
ZouJiu1/Dorefa_Pact
Dorefa、Pact quantization
666DZY666/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
zzzxxxttt/pytorch_DoReFaNet
A pytorch implementation of DoReFa-Net
Eric-mingjie/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
derek8955/spring_iclab
題目練習
hkproj/quantization-notes
Notes on quantization in neural networks
Zhen-Dong/Awesome-Quantization-Papers
List of papers related to neural network quantization in recent AI conferences and journals.
BICLab/Spike-Driven-Transformer
Offical implementation of "Spike-driven Transformer" (NeurIPS2023)
KwangHoonAn/PACT
Reproducing Quantization paper PACT
Xilinx/brevitas
Brevitas: neural network quantization in PyTorch
open-neuromorphic/open-neuromorphic
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
aa-samad/conv_snn
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper