chenhaishun

chenhaishun's Stars

• hulianyuyy/Deep_Correlated_Prompting

  Deep Correlated Prompting for Visual Recognition with Missing Modalities (NeurIPS 2024)

  Language:Python20

• SocialAI-tianji/Tianji

  制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

  Language:Python1.2k96

• pliang279/MultiBench

  [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

  Language:HTML52777

• xfhelen/MMBench

  An end-to-end benchmark suite of multi-modal DNN applications for system-architecture co-design

  Language:Python228

• fyang93/diffusion

  Efficient Diffusion for Image Retrieval

  Language:Python22236

• jhgan00/image-retrieval-transformers

  (Unofficial) PyTorch implementation of Training Vision Transformers for Image Retrieval(El-Nouby, Alaaeldin, et al. 2021).

  Language:Python478

• xx025/carrot

  Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

  17.1k1.5k

• THUDM/GLM

  GLM (General Language Model)

  Language:Python3.2k325

• blmoistawinde/ml_equations_latex

  Classical ML equations in Latex, helps paper and blog writing

  Language:HTML17839

• NUSTM/ACOS

  The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

  Language:Python19728

• hubojing/Information-Extraction-Papers

  信息抽取相关论文。

  739

• sanbuphy/awesome-cs-tutorial

  计算机、人工智能学习网站、工具、技巧合集 | A collection of ComputerScience and DeepLearning tutorial and tools.

  32941

• NUSTM/ABSA-Reading-List

  Reading list of aspect-based sentiment analysis.

  21935

• DavidHuji/CapDec

  CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

  Language:Python19121

• Netflix/vmaf

  Perceptual video quality assessment based on multi-method fusion.

  Language:Python4.8k773

• MikeWangWZHL/VidIL

  Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

  Language:Python1141

• yangjianxin1/ClipCap-Chinese

  基于ClipCap的看图说话Image Caption模型

  Language:Python29740

• clip-vil/CLIP-ViL

  [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

  Language:Python41034

• yuanzhoulvpi2017/questionAnswerSystem

  基于sentence-transformers实现文本转向量的机器人

  Language:Jupyter Notebook457

• CharlesPikachu/YSLAO

  ECCV2022 - You Should Look at All Objects

  Language:Python702

• zjunlp/KnowPrompt

  [WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

  Language:Python20034

• kepsail/ie-HGCN

  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021

  Language:Python1029

• lavis-nlp/jerex

  PyTorch code for JEREX: Joint Entity-Level Relation Extractor

  Language:Python6316

• SlongLiu/query2labels

  Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

  Language:Python42869

• zhaoyingjun/chatbot

  ChatGPT带火了聊天机器人，主流的趋势都调整到了GPT类模式，本项目也与时俱进，会在近期更新GPT类版本。基于本项目和自己的语料可以训练出自己想要的聊天机器人，用于智能客服、在线问答、闲聊等场景。

  Language:Python3.6k1k

• gordicaleksa/pytorch-original-transformer

  My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

  Language:Jupyter Notebook1k176

• siyanapavlova/Advances_in_QA

  Project for the Advances in QA class, winter semester 2019/2020, University of Saarland. Re-implementation of "Dynamically Fused Graph Network for Multi-hop Reasoning" by Xiao et al. (2019)

  Language:Python74

• filipradenovic/cnnimageretrieval-pytorch

  CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

  Language:Python1.5k322

• yinhaoxs/ImageRetrieval-LSH

  离线构建大规模图像特征索引库，实现在线相似图片精准查询

  Language:Python7824

• MM-IR/rank4_NLP_textclassification

  阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction

  Language:Python18833