an iii's repositories

onlineExam

javaWeb在线考试系统

Language:JavaStargazers:4Issues:0Issues:0

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

1-stage-wseg

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

500lines

500 Lines or Less

License:NOASSERTIONStargazers:0Issues:0Issues:0

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

License:GPL-3.0Stargazers:0Issues:0Issues:0

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

License:MITStargazers:0Issues:0Issues:0

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

License:MITStargazers:0Issues:0Issues:0

Bob

Bob 是一款 Mac 端翻译软件,翻译方式支持划词翻译和截图翻译,翻译引擎支持有道翻译、百度翻译和谷歌翻译~

Stargazers:0Issues:0Issues:0

bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

License:MITStargazers:0Issues:0Issues:0

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

Stargazers:0Issues:0Issues:0

ContrastiveSeg

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

License:MITStargazers:0Issues:0Issues:0

CVPR2022-Paper-Code-Interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

Stargazers:0Issues:0Issues:0

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

License:Apache-2.0Stargazers:0Issues:0Issues:0

DRN_CVPR2020

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

License:GPL-2.0Stargazers:0Issues:0Issues:0

gitT

personal

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

info-ground

Learning phrase grounding from captioned images through InfoNCE bound on mutual information

License:NOASSERTIONStargazers:0Issues:0Issues:0

learninggit

test learning git

Language:PythonStargazers:0Issues:0Issues:0

learninggit2

origin 2

Language:PythonStargazers:0Issues:0Issues:0

mask-to-polygons

Routines for extracting and working with polygons from semantic segmentation masks

License:Apache-2.0Stargazers:0Issues:0Issues:0

openseg.pytorch

The Pytorch code of OCNet series and SegFix.

License:MITStargazers:0Issues:0Issues:0

pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

License:NOASSERTIONStargazers:0Issues:0Issues:0

pytorch-ImageNet-CIFAR-COCO-VOC-training

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+2012 datasets.Include ResNet/EfficientNet/DarkNet/RegNet/VovNet/RetinaNet/FCOS/CenterNet/YOLOv3.

License:MITStargazers:0Issues:0Issues:0

pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

License:MITStargazers:0Issues:0Issues:0

RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

License:MITStargazers:0Issues:0Issues:0

SC-CAM

SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)

License:MITStargazers:0Issues:0Issues:0

SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

License:MITStargazers:0Issues:0Issues:0

SegLoss

A collection of loss functions for medical image segmentation

Stargazers:0Issues:0Issues:0

SPML

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

License:MITStargazers:0Issues:0Issues:0

webpage-template

Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

Stargazers:0Issues:0Issues:0