shaosen11

shaosen11's Stars

• xiaozhen228/VCP-CLIP

  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation

  Language:Python47

• zqhang/AnomalyCLIP

  Official implementation for AnomalyCLIP (ICLR 2024)

  Language:Python27128

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java147k45.6k

• zqhang/Accurate-WinCLIP-pytorch

  Accurate reimplementation of WinCLIP (pytorch version)

  Language:Python772

• nelson1425/EfficientAD

  Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

  Language:Python28274

• Lszcoding/ClipSAM

  651

• MendelXu/zsseg.baseline

  Open-vocabulary Semantic Segmentation

  Language:Python16616

• chongzhou96/MaskCLIP

  Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

  Language:Python40327

• immich-app/immich

  High performance self-hosted photo and video management solution.

  Language:TypeScript50.5k2.7k

• hslr-s/sun-panel

  A server, NAS navigation panel, Homepage, browser homepage. | 一个服务器、NAS导航面板、Homepage、浏览器首页。

  Language:Vue2.8k299

• 1Panel-dev/1Panel

  🔥🔥🔥 Web-based linux server management control panel. / 现代化、开源的 Linux 服务器运维管理面板。

  Language:Go22.7k2.1k

• liminn/ICNet-pytorch

  ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

  Language:Python11528

• zrl4836/ACFNet

  ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)

  Language:Python7912

• VainF/DeepLabV3Plus-Pytorch

  Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

  Language:Python2k446

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27k2.4k

• MIC-DKFZ/napari-sam

  Language:Python22327

• napari/napari

  napari: a fast, interactive, multi-dimensional image viewer for python

  Language:Python2.2k421

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k411

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.5k5.6k

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.5k246

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23k8k

• facebookresearch/ToMe

  A method to increase the speed and lower the memory footprint of existing vision transformers.

  Language:Python96668

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.3k3.7k

• wangshusen/DeepLearning

  Language:TeX3.7k828

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.1k2.5k

• wilicc/gpu-burn

  Multi-GPU CUDA stress test

  Language:C++1.4k300

• lucidrains/pixel-level-contrastive-learning

  Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

  Language:Python25227

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k431