mountains-high's starred repositories
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
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。
expelliarmus
A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.
Spiking_ResNet
Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Illumination-based-Transformations-Skin-Lesion-Segmentation
This is the code corresponding to our CVPR ISIC 2020 paper.
cifar10-vgg16
vgg cifar-10
Model-Pruning-in-Deep-Learning
Final Project of Algorithm
A-journey-into-Convolutional-Neural-Network-visualization-
A journey into Convolutional Neural Network visualization
Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
SNN-Evolutionary-Ensemble
This project revolves about using an ensemble of various existing bio-inspired algorithms to determine the optimal sets of weights of a Spiking Neural Network and evaluating the performance of such an ensemble setting.
ga_for_snn
MultiNEAT genetic algorithm applied to spiking neural network with STDP, with learning based on the neuron's spiking rate stabilization effect
decolle-quantization
Hessian Aware Quantization of the DECOLLE Spiking Neural Network
Spiking-Neural-Network
Pure python implementation of SNN
norse-hbp-workshop
Repository with course material for the 5th HBP Student Conference