Pinned Repositories
aster
Recognizing cropped text in natural images.
bert
TensorFlow code and pre-trained models for BERT
Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
CornerNet
CRAFT_keras
Keras implementation of Character Region Awareness for Text Detection (CRAFT)
CRNN_Tensorflow
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
CUDA_Freshman
DoDNet
[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
dota
Data-driven particle transport algorithm for fast calculation of radiation dose.
EAST
A tensorflow implementation of EAST text detector
Yangchao0053's Repositories
Yangchao0053/DoDNet
[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Yangchao0053/dota
Data-driven particle transport algorithm for fast calculation of radiation dose.
Yangchao0053/aster
Recognizing cropped text in natural images.
Yangchao0053/bert
TensorFlow code and pre-trained models for BERT
Yangchao0053/Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
Yangchao0053/CRAFT_keras
Keras implementation of Character Region Awareness for Text Detection (CRAFT)
Yangchao0053/CRNN_Tensorflow
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
Yangchao0053/CUDA_Freshman
Yangchao0053/ICDAR2019-ArT-Recognition-Alchemy
PKU Team Zero's code for participation in ICDAR2019 ArT Recognition track
Yangchao0053/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Yangchao0053/mmdetection
Open MMLab Detection Toolbox and Benchmark
Yangchao0053/PAN.pytorch
A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Yangchao0053/PMTD
Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.
Yangchao0053/PSENet
Yangchao0053/PSENet.pytorch
A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network
Yangchao0053/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Yangchao0053/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Yangchao0053/SAM-LST
Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.
Yangchao0053/SAM-Med3D
SAM-Med3D: An Efficient 3D Model for Promptable Volumetric Medical Image Segmentation
Yangchao0053/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.
Yangchao0053/Self-Attentive-tensorflow
Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"
Yangchao0053/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Yangchao0053/SGTNet
Codes for MICCAI 2023 paper: 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer
Yangchao0053/SPNet
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
Yangchao0053/stable-diffusion-webui
Stable Diffusion web UI
Yangchao0053/stylegan2
StyleGAN2 - Official TensorFlow Implementation
Yangchao0053/SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Yangchao0053/SynDiff
Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).
Yangchao0053/tensorflow_PSENet
This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:
Yangchao0053/TopoInteraction
This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", accepted to ECCV 2022 (Oral)