ChamnLee

ChamnLee's Stars

• ruiqiRichard/EEGViT

  Language:Python257

• smitheric95/MoCoViT-PyTorch

  PyTorch implementation of "MoCoViT: Mobile Convolutional Vision Transformer"

  Language:Python172

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29k9.4k

• wofmanaf/ResT

  This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

  Language:Python27528

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript74.4k58.7k

• AIMLab-UBC/MIDL2020

  Ovarian cancer classification based on histopathology images - Transfer learning strategy

  Language:Python272

• scjjb/DRAS-MIL

  Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning

  Language:Python9

• mit-han-lab/efficientvit

  EfficientViT is a new family of vision models for efficient high-resolution vision.

  Language:Python1.7k158

• tianyu0207/weakly-polyp

  [MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

  Language:Python394

• HReynaud/EchoDiffusion

  MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratch on the EchoNet-Dynamic dataset with the imagen-pytorch repo.

  Language:Python514

• rmaphoh/RETFound_MAE

  RETFound - A foundation model for retinal image

  Language:Jupyter Notebook33175

• ardkastrati/EEGEyeNet

  EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty

  Language:Python376

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python51.8k4.6k

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k185

• peng-lab/HistoBistro

  Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

  Language:Jupyter Notebook6212

• jerry3747/taobao_seckill

  淘宝、天猫半价抢购，抢电视、抢茅台，干死黄牛党

  Language:Python2.4k1.1k

• nicolaDeCristofaro/Predictive_Models_in_Healthcare

  Data Science & Machine Learning Project applied to Healthcare

  Language:Jupyter Notebook123

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2k237

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.6k502

• zhangzjn/EMO

  [ICCV 2023] Official PyTorch implementation of "Rethinking Mobile Block for Efficient Attention-based Models"

  Language:Jupyter Notebook22015

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2k201

• BioinformaticsStudy/CPFNN

  Language:Python32

• akatrib/epi-age

  Regression models for "epigenetic clock" estimation of canine chronological age

  Language:Jupyter Notebook31

• Alex-T-Sharipov/Epigenetic_Clocks

  Implemented and evaluated 2 transformer encoder architectures for age inference based on the DNA methylation values. Reproduced the previous results using the multilayer perceptron and the linear regression

  Language:Jupyter Notebook53

• AkshajD/Epigenetic-Clock

  This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning models.

  Language:Jupyter Notebook235

• ycwu1997/MC-Net

  Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"

  Language:Python12512

• Senyh/UCMT

  [IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

  Language:Python342

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.1k379

• MIC-DKFZ/nnUNet

  Language:Python5.5k1.7k

• DebeshJha/ResUNetPlusPlus

  Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

  Language:Python17439