liuyundong-2020 Goto Github PK

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

a2cn-net

ai-research-tools

:hammer:AI 方向好用的科研工具

aitool

AITool is a Toolkit for Research in Aerial Image

awesome-ai-algorithm

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

awesome-cv-team

国内外优秀的计算机视觉团队汇总，极市团队整理

awesome_vision_transformer

awesome vision transformer

centernet

A resnet18 version of CenterNet（objects as points）

centernet-plus

A Simple Baseline for Object Detection

classic-convolution-network

里面会保存许多优秀的卷积神经网络结构，这些结构可以帮助我们更好的设计网络。

computervisionpractice

condensenet

CondenseNet: Light weighted CNN for mobile devices

condensenetv2

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

cv_learning

cv_tools

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dairly_learning

dairly learning

dcanet

Deep Connected Attention Networks

dcd

official code for dynamic convolution decomposition

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dev-sidecar

开发者边车，github打不开，github加速，git clone加速，git release下载加速，stackoverflow加速

dynamic-vision-transformer

Accelerating T2t-ViT by 1.6-3.6x.

efficientnet-ssd

Object Detection using EfficientNet

efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

epsanet

EPSANet：An Efficient Pyramid Split Attention Block on Convolutional Neural Network

flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

gfnet-pytorch

A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

ghostnet.pytorch

73.6% GhostNet 1.0x pre-trained model on ImageNet