Cxiada's Stars
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
dingmyu/Pytorch-Instance-Lane-Segmentation
A pytorch implementation of "Towards End-to-End Lane Detection: an Instance Segmentation Approach"
Wizaron/instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
MaybeShewill-CV/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
ternaus/TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
AstarLight/Satellite-Segmentation
amusi/AI-Job-Recommend
国内公司人工智能方向(含机器学习、深度学习、计算机视觉和自然语言处理)岗位的招聘信息(含全职、实习和校招)
DarLiner/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
huihut/interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
lucasjinreal/alfred
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
SnailTyan/deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
fengdu78/lihang-code
《统计学习方法》的代码实现
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
jaeoh2/Road-Lane-Instance-Segmentation-PyTorch
tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.
ranjiewwen/Nowcoder
牛课网练习,主要包括leetcode,剑指offer,Cracking the Coding Interview,PAT,华为上机测试,算法课程学习,一些公司笔试题目等。
facebookresearch/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
chenyuntc/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
tangzhenyu/SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
shelhamer/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
guanfuchen/semseg
常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
TuSimple/tusimple-benchmark
Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3
nyoki-mtl/pytorch-discriminative-loss
Implementation of discriminative loss for instance segmentation by pytorch
sksq96/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
bailvwangzi/repulsion_loss_ssd
Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752
fatedier/frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
apachecn/Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析