Wenting Chen's starred repositories
awesome-video-text-datasets
A curated list of video-text datasets in a variety of languages. These datasets can be used for video captioning (video description) or video retrieval.
awesome-diverse-captioning
Some papers about *diverse* image (a few videos) captioning
Awesome-Video-Captioning
A curated list of research papers in Video Captioning
CheXclusion
Code for the paper https://arxiv.org/abs/2003.00827
ClinicalLab
ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
awesome-llm-powered-agent
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
Awesome-AI-Agents
A collection of autonomous agents 🤖️ powered by LLM.
Autonomous-Agents
Autonomous Agents (LLMs) research papers. Updated Daily.
awesome-text-based-image-manipulation
A curated list of text-based image manipulation methods.
awesome-text-to-image-studies
A collection of awesome text-to-image generation studies.
kaggle_rsna_breast_cancer
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
cggm-mammography-classification
Chinese Mammography Database (CMMD dataset) Deep Learning Classification Pipeline
EndoGaussian
EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
LLM-Agents-Papers
A repo lists papers related to LLM based agent
LLMAgentPapers
Must-read Papers on LLM Agents.
visualwebarena
VisualWebArena is a benchmark for multimodal agents.
Awesome-LLM-Healthcare
The paper list of the review on LLMs in medicine - "Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review".
CRC-Diagnose
A medical image recognition project powered by self-implemented ResNet and ViT models, utilizing PyTorch, with a user-friendly web demo built on Flask and Vue. 该项目使用PyTorch开发,基于自主实现的ResNet和ViT模型及NCT-CRC-HE-100K数据集,实现了直结肠癌医学图像识别,配备了基于Flask和Vue的用户友好型Web演示。
GenerateCT
ECCV 2024 & GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes