yiyi2333's Stars
mli/paper-reading
深度学习经典、新论文逐段精读
wistbean/learn_python3_spider
python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等
guipsamora/pandas_exercises
Practice your pandas skills!
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
alibaba/EasyCV
An all-in-one toolkit for computer vision
facebookresearch/MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
luuuyi/CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Paperspace/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
pybamm-team/PyBaMM
Fast and flexible physics-based battery models in Python
jwyang/fpn.pytorch
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
sundyCoder/DEye
Keep an Eye on Defects Inspection.
yinboc/few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
DLLXW/objectDetectionDatasets
目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本
timy90022/One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
cuilimeng/CrackForest-dataset
yhlleo/DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
Caojunxu/AC-FPN
Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
okojoalg/sequencer
Sequencer: Deep LSTM for Image Classification
skokec/segdec-net-jim2019
Surface Defect Detection with Segmentation-Decision Network on KolektorSDD
920232796/SETR-pytorch
Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.
anhtuan85/Data-Augmentation-for-Object-Detection
Data Augmentation For Object Detection using Pytorch and PIL
marvinatorrr/SOH-estimation
Lithium ion battery state of health estimation and remaining useful life prediction using ELM
MengTianjian/MaskRCNN
Implementation of Mask RCNN in PyTorch
RuiChen96/MaskRCNN-Knowledge-Distillation
MaskRCNN with Knowledge Distillation
spratapa/Predicting-the-life-of-Lithium-Ion-Battery-based-on-charging-profiles-using-Deep-Neural-Network
In this Deep Neural Network has been used to predict the remaining useful life of Lithium Ion Battery.
aditya-saxena-7/Lithium-Ion-Battery-PCA-
"Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"--PCA Model
aniket-ak/Battery-SOH-Forecasting
lansinuote/Faster_RCNN
jugal-krishna/Vision-Transformer
Vision transformer with coding the patch embeddings, Multihead-attention, transformer encoder blocks from scratch