xiezexun

xiezexun's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook92.3k14.7k

• cnulab/RealNet

  Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"

  Language:Python1859

• amusi/ICCV2023-Papers-with-Code

  ICCV 2023 论文和开源项目合集

  2.5k249

• qhfan/RMT

  (CVPR2024)RMT: Retentive Networks Meet Vision Transformer

  Language:Python27218

• OpenGVLab/CaFo

  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

  Language:Python34318

• getaurora/download

  极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

  3.7k455

• yzy1996/English-Writing

  Enhance Your English Writing for Science Research 写论文英语素材

  1.1k103

• OpenGVLab/UniFormerV2

  [ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

  Language:Python28216

• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1.3k

• 52CV/CVPR-2023-Papers

  92079

• whwu95/Text4Vis

  【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

  Language:Python20215

• m-bain/webvid

  Large-scale text-video dataset. 10 million captioned short videos.

  Language:Python57435

• Liuhong99/Sophia

  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

  Language:Python93152

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.8k335

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.6k2k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k6.4k

• masum74/Video-caption-MSR-VTT

  Language:Jupyter Notebook4

• pawandeep2155/Video-Captioning-Using-Object-Trajectory-Features

  Video Captioning on MSR-VTT and MSVD dataset using Deep Learning

  Language:Python212

• yugaljain1999/Video_Captioning_Pytorch

  Video captioning on MSR-VTT Dataset

  Language:Python12

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

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

  Language:Python22.4k7.9k

• SwinTransformer/Video-Swin-Transformer

  This is an official implementation for "Video Swin Transformers".

  Language:Python1.4k196

• cvdfoundation/kinetics-dataset

  Language:Shell74195

• 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 Notebook46.7k5.5k

• microsoft/BioGPT

  Language:Python4.3k449

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.7k1.2k

• zejunwang1/CSTS

  中文自然语言推理与语义相似度数据集

  33675

• zhengyanzhao1997/NLP-model

  Language:Python27481

• tunz/transformer-pytorch

  Transformer implementation in PyTorch.

  Language:Python454101

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• ymcui/PERT

  PERT: Pre-training BERT with Permuted Language Model

  34924