wkrkk

wkrkk's Stars

• JansonYuan/Pytorch-Camp

  Language:Python366228

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k1.7k

• lee-zq/3DUNet-Pytorch

  3DUNet implemented with pytorch

  Language:Python508112

• mattmacy/vnet.pytorch

  A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

  Language:Python702201

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k425

• faustomilletari/VNet

  Language:Python287122

• ellisdg/3DUnetCNN

  Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

  Language:Python1.9k652

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.8k323

• JunMa11/AbdomenCT-1K

  The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

  Language:Python23135

• MIC-DKFZ/nnUNet

  Language:Python6k1.8k

• NifTK/NiftyNet

  [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

  Language:Python1.4k406

• xming521/CTAI

  基于深度学习的肿瘤辅助诊断系统，以图像分割为核心，利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设、工业级部署和前端访问功能。TensorRT、PyTorch 、OpenCV 、Flask、Vue

  Language:Python47987

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.4k5.4k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML32.3k10.7k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.9k2.6k

• LooperXX/CS224n-Reading-Notes

  CS224n Reading Notes in Chinese 中文阅读笔记

  500113

• cxinping/PyQt5

  《PyQt5快速开发与实战》配套代码

  Language:HTML2.3k982

• ymcui/MacBERT

  Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

  64460

• becxer/pointer-generator

  Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

  Language:Python312145

• abisee/pointer-generator

  Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

  Language:Python2.2k811

• lonePatient/NeZha_Chinese_PyTorch

  NEZHA: Neural Contextualized Representation for Chinese Language Understanding

  Language:Python26254

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python64.3k11.1k

• bojone/nezha

  精简版NEZHA模型权重

  211

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.7k1.4k

• lonePatient/awesome-pretrained-chinese-nlp-models

  Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

  Language:Python5k479

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.3k

• nlpyang/PreSumm

  code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

  Language:Python1.3k465

• ShenDezhou/CAIL

  **法研杯-司法人工智能挑战赛(CAIL2018-2020)

  Language:Python9017

• bojone/SPACES

  端到端的长本文摘要模型（法研杯2020司法摘要赛道）

  Language:Python39091

• jalammar/ecco

  Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

  Language:Jupyter Notebook2k171