RXZ-BUPT's starred repositories
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Pytorch-extract-feature
There is an image dataSet. We use Pytorch to extract the image features
SimpleCVPaperReading
:smile:博客论文列表:分系列整理
Llama-Chinese
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
CVPR-2022-papers
CVPR 2022 papers with code (论文及代码)
alibaba_tianchi_book
阿里云天池大赛赛题解析
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
tensorRT_Pro
C++ library based on tensorrt integration
scikit-learn
scikit-learn: machine learning in Python
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
PLabel
半自动标注系统是基于BS架构,由鹏城实验室自主研发,集成视频抽帧,目标检测、视频跟踪、ReID分类、人脸检测等算法,实现了对图像,视频的自动标注,并可以对自动算法的结果进行人工标注,最终得到标注结果,同时也可以对视频、图片、医疗(包括dicom文件及病理图像)相关的数据进行人工标注,标注结果支持COCO及VOC格式。支持多人协同标注。 半自动标注系统主要功能有:用户管理,数据集管理,自动标注,人工标注,ReID标注,车流统计,视频标注,医疗CT标注,超大图像标注,模型管理与重训,报表管理。数据标注过程一个非常重要的因素是数据安全,在标注使用中防止数据泄露,采用基于web标注工具是有效避免数据泄露的措施之一。 半自动标注系统以保证性能的情况下最小化人工标注代价为目标,不断提升自动标注效率,
ARKitScenes
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.
pumpkin-book
《机器学习》(西瓜书)公式详解
FinTech2020
2020 招商银行FinTech 数据赛道 rank10
blur-kernel-space-exploring
Exploring Image Deblurring via Blur Kernel Space (CVPR'21)
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.