kar9999

kar9999's Stars

• vsislab/Controllable_XGating

  ICCV2019: Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network

  Language:Python6713

• MarcusNerva/HMN

  [CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.

  Language:Python529

• Shreyz-max/Video-Captioning

  Video Captioning is an encoder decoder mode based on sequence to sequence learning

  Language:Python12437

• SpongebBob/Finetune-ChatGLM2-6B

  ChatGLM2-6B 全参数微调，支持多轮对话的高效微调。

  Language:Python39641

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook4.9k653

• THUDM/VisualGLM-6B

  Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

  Language:Python4.1k422

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.6k825

• PhoebusSi/Alpaca-CoT

  We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

  Language:Jupyter Notebook2.6k248

• Moeinh77/Image-Captioning-with-Beam-Search

  Generating image captions using Xception Network and Beam Search in Keras - My Bachelor's thesis project

  Language:Jupyter Notebook214

• open-mmlab/Multimodal-GPT

  Multimodal-GPT

  Language:Python1.5k125

• mlfoundations/open_flamingo

  An open-source framework for training large multimodal models.

  Language:Python3.8k287

• lucidrains/flamingo-pytorch

  Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

  Language:Python1.2k59

• Yushi-Hu/PromptCap

  natual language guided image captioning

  Language:Python787

• THUDM/P-tuning-v2

  An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

  Language:Python2k202

• vFones/situation-recognition

  Situation recognition with Graph Neural Network

  Language:Python61

• zhihuifanqiechaodan/vue3-admin-template

  About 🎉 A magical vue3 admin http://vue3.zhihuifanqiechaodan.com

  Language:Vue16046

• PanJiaChen/vue-element-admin

  :tada: A magical vue admin https://panjiachen.github.io/vue-element-admin

  Language:Vue88.2k30.5k

• Binaryify/NeteaseCloudMusicApi

  网易云音乐 Node.js API service

  30.3k15.8k

• algorithmzuo/algorithmbasic2020

  算法和数据结构体系学习班

  Language:Java1.3k1k

• rock3125/enhanced-subject-verb-object-extraction

  Enhanced Subject Word Object Extraction

  Language:Python14850

• computationalmedia/semstyle

  Code for learning to generate stylized image captions from unaligned text

  Language:Python6311

• yishuihanhan/wordninja

  Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.

  Language:Python509

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.8k203

• ArrowLuo/CLIP4Clip

  An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

  Language:Python892125

• wubin5/STTN

  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>

  Language:Python16044

• Scarecrow0/SGTR

  Language:Python807

• feymanpriv/DOLG

  Pytorch Implementation of DOLG (ICCV 2021)

  Language:Python5911

• jd730/STRG

  Pytorch Implementation of Videos as Space-Time Region Graphs

  Language:Python265

• cvlab-yonsei/MNAD

  An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

  Language:Python34180

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python469104