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shapleyvalues

This is a simple python script that calculates Shapley Values and their average.

shufflenet-series

simkd

[CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".

sklearn-genetic-opt

Hyperparameters tuning and feature selection, using evolutionary algorithms.

sota-cv

A repository of state-of-the-art deep learning methods in computer vision

sparseshiftlayer

An official implementation of CVPR 2019 paper "All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification".

ssd

ssd结构化实现

ssd_mobilenet

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

ssd_resnet_pytorch

ssds_pytorch

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

taskrouting

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

tat

Knowledge Distillation via the Target-aware Transformer

torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

torchdistiller

Channel-wise Distillation for Seg

torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

tune-sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vector-quantize-pytorch

Vector Quantization, in Pytorch

visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs

vissl-kitti

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

vkd

PyTorch code for ECCV 2020 paper: "Robust Re-Identification by Multiple Views Knowledge Distillation"

weightstandardization

Standardizing weights to accelerate micro-batch training

weixin-xiaochengxu666-info

微信小程序开发框架、资源-干货汇总

wkd-datasets

This repository provides the dataset used in our cvpr2022 paper - wavelet knowledge distillation

wolai_desktop

wolai客户端（非官方）

yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

yolobile

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite