张正东's repositories
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
BEAL
code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Chinese-Text-Classification-Pytorch
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Influence_Subsampling
Official Implementation of Unweighted Influence Data Subsampling (UIDS) - AAAI 2020
MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型,实现包括二次预训练、有监督微调、奖励建模、强化学习训练。
mentornet
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
mmdetection
Open MMLab Detection Toolbox and Benchmark
MultiPlanarUNet
Multi-Planar UNet for autonomous segmentation of 3D medical images
PaddleNLP
Easy-to-use and Fast NLP library with awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications.
pOSAL
Code for pOSAL
Reading_list
reading list for deep learning —— PHD life
SCELoss-Reproduce
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
SNIPER
SNIPER is an efficient multi-scale object detection algorithm
squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
UNet-family
Paper and implementation of UNet-related model.
Vox2Vox
Vox2Vox: 3D GAN for image segmentation