ms12

ms12's Stars

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.7k15.9k

• CVLAB-Unibo/MM2D3D

  Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"

  Language:Python10

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.7k515

• CharlesKangZhou/awesome-anomaly-detection-in-medical-images

  Awesome anomaly detection in medical images

  8513

• VincentHancoder/SSGD

  SSGD(ICASSP2023)

  Language:Python363

• doubleZ0108/Leetcode

  Leetcode solutions @doubleZ0108 from Peking University.

  Language:Python5613

• Jun-CEN/SegmentAnyRGBD

  Segment Any RGBD

  Language:Python78845

• geekyutao/Inpaint-Anything

  Inpaint anything using Segment Anything and inpainting models.

  Language:Jupyter Notebook6.5k539

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.1k811

• Cheems-Seminar/grounded-segment-any-parts

  Grounded Segment Anything: From Objects to Parts

  Language:Jupyter Notebook38618

• deeptibhegde/CLIP-goes-3D

  Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"

  Language:Python21812

• amusi/AI-Job-Notes

  AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

  5.2k639

• sungwool/CFA_for_anomaly_localization

  Language:Python10222

• ajhamdi/vointcloud

  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)

  213

• ajhamdi/mvtorch

  a Pytorch library for multi-view 3D understanding and generation

  Language:Python815

• Howeng98/MSPBA

  Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation

  Language:Python34

• abhisheknaiidu/awesome-github-profile-readme

  😎 A curated list of awesome GitHub Profile which updates in real time

  24.5k3.7k

• zhangzilongc/MMR

  Language:Python699

• xcyao00/PMAD

  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection

  Language:Python13

• xcyao00/BGAD

  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

  Language:Python789

• tiangexiang/SQUID

  [CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

  Language:Python916

• LangDaniel/MAEMI

  3D masked autoencoder for anomaly detection

  Language:Python121

• caoyunkang/Segment-Any-Anomaly

  Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

  Language:Jupyter Notebook72675

• ZrrSkywalker/I2P-MAE

  [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

  Language:Python21217

• tianyu0207/IGD

  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

  Language:Python658

• TencentYoutuResearch/AnomalyDetection-SoftPatch

  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

  Language:Python408

• 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 Notebook47.4k5.6k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.4k1.9k

• dongliangcao/Self-Supervised-Multimodal-Shape-Matching

  CVPR23 (Highlight): Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

  Language:Python366

• DonaldRR/SimpleNet

  Language:Python43564