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algorithms icon algorithms

AlgorithmsTest is Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne,算法第四版书中代码以及后面的习题，AlgorithmsExercise是一些牛客网上的题目,AlgorithmsReplenish是一些算法的补充

crack_segmentation icon crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

dali-pytorch icon dali-pytorch

A PyTorch toolkit for accelerating ImageNet training with NVIDIA DALI.

deeplearning-500-questions icon 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

densenas icon densenas

Densely Connected Search Space for More Flexible Neural Architecture Search

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detrex icon detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

fpn icon fpn

Feature Pyramid Networks for Object Detection

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

lambda-networks icon lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

real-time-network icon real-time-network

real-time network architecture for mobile devices and semantic segmentation

segmentron icon segmentron

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

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