liguopeng0923

liguopeng0923's Stars

• didizhu-zju/Model-Tailor

  Language:Python1

• Starlitnightly/omicverse

  A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

  Language:Jupyter Notebook41343

• lyingCS/LAST

  Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce (RecSys 2024)

  Language:Python8

• lyingCS/Controllable-Multi-Objective-Reranking

  Controllable Multi-Objective Re-ranking with Policy Hypernetworks (SIGKDD 2023)

  Language:Python274

• lyingCS/UOEP

  Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy (SIGIR 2024)

  Language:Python12

• OpenGVLab/Multitask-Model-Selector

  Implementation of Foundation Model is Efficient Multimodal Multitask Model Selector

  Language:Python331

• OpenGVLab/MMIU

  MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

  Language:Python351

• OpenGVLab/ChartAst

  ChartAssistant is a chart-based vision-language model for universal chart comprehension and reasoning.

  Language:Python1018

• voxel51/fiftyone

  The open-source tool for building high-quality datasets and computer vision models

  Language:Python8.1k539

• yunlong10/Awesome-LLMs-for-Video-Understanding

  🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

  1.3k68

• ddlBoJack/emotion2vec

  [ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

  Language:Python57642

• X-LANCE/SLAM-LLM

  Speech, Language, Audio, Music Processing with Large Language Model

  Language:Python49439

• IDEA-Research/MotionLLM

  [Arxiv-2024] MotionLLM: Understanding Human Behaviors from Human Motions and Videos

  Language:Python2146

• LixDemon/ARF

  [CVPR 2024] Anchor-based Robust Finetuning of Vision-Language Models

  2

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML111k15.1k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  11.7k758

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.2k169

• LixDemon/Awesome-Robust-Finetuning

  This repository is a collection of awesome things about robust finetuning, including papers, code, etc.

  4

• EricLee8/MPD_EMVI

  Official implementation of our paper at ACL 2023: Pre-training Multi-party Dialogue Models with Latent Discourse Inference

  Language:Python10

• ylwhxht/SRKD-DRET

  AAAI2024 - Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

  Language:Python302

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java95.5k12.1k

• Miles629/HumanNeRF-SE

  The code of HumanNeRF-SE

  Language:Python21

• liguopeng0923/UCVGL

  [CVPR 2024🔥] Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization

  Language:Python84

• Swall0w/torchstat

  Model analyzer in PyTorch

  Language:Python1.5k144

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.2k1.5k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.5k4.7k

• Hao840/OFAKD

  PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444

  Language:Python8912

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k2.4k

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k699

• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1.3k