Qingpeng Kong (Kqp1227)

Kqp1227

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Location:Beijing, China

Home Page:https://kqp1227.github.io

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Qingpeng Kong's starred repositories

GenerateCT

ECCV 2024 & GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

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finetune-fair-diffusion

Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness

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Diff-Pruning

[NeurIPS 2023] Structural Pruning for Diffusion Models

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Sensitive-Channel-Pruning

This is the official repository of the following paper: "Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis" in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024 (early accept, acceptance rate 11%)

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RadFM

The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

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ChatCAD

[COMMSENG'24, TMI'24] Interactive Computer-Aided Diagnosis using LLMs

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MedicalGPT

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型,实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

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finetune_stable_diffusion

finetune stable diffusion with Dreambooth、LoRA、ControlNet

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stable-diffusion-webui

Stable Diffusion web UI

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diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

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FiT

[ICML 2024 Spotlight] FiT: Flexible Vision Transformer for Diffusion Model

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awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

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GenerativeModels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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sliders

Concept Sliders for Precise Control of Diffusion Models

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Awasome-Pruning

Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.

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Dynamic-Network-Surgery

Caffe implementation for dynamic network surgery.

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network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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WSI-HGNN

[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

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C2C

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

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MCAT

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021

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multiple_instance_learning

Multiple instance learning for weakly supervised learning

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CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

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Pipeline-Processing-TCGA-Slides-for-MIL

This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.

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