黄俞凯's starred repositories
camelyon16-grand-challenge
Implementation of Camelyon'16 grand challenge
DeepLearningCamelyon
DeepLearning - Camelyon16 dataset
py-wsi
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
MMPD_rPPG_dataset
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SemanticSegmentation
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
pytorch-basic-tutorial
pytorch-basic-tutorial
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
deeplearningbook-chinese
Deep Learning Book Chinese Translation
Cuff_less_BP_Prediction
Prediction of Blood Pressure from ECG and PPG signals using regression methods.
Continuous-Non-Invasive-Blood-Pressure-Research-Platform---ECG-and-PPG-Pulse-Arrival-Time-Based-
This project is cuffless cNIBP research platform with ECG(two-electrode) and PPG
PhysFormer
PhysFormer CVPR2022