mountains-high

RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

LANCER

Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"

openTSNE

Extensible, parallel implementations of t-SNE

sconce

Model Compression/Inference Made Easy

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。

tt05-mountains-high-if

SpikeGPT

Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

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.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

cifar10-vgg16

vgg cifar-10

Model-Pruning-in-Deep-Learning

Final Project of Algorithm

SNN_benchmark

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_iCNN

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

secml

A Python library for Secure and Explainable Machine Learning

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.

snntorch

Deep and online learning with spiking neural networks in Python

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

neural_sampling_machines

norse-hbp-workshop

Repository with course material for the 5th HBP Student Conference

event-based_vision_resources

tonic

Publicly available event datasets and transforms.