Pinned Repositories
Ad-papers
Papers on Computational Advertising
attention
some attention implements
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Benchmarking_DL_MIMICIII
bert
TensorFlow code and pre-trained models for BERT
BERT-Classification-Tutorial
cloth_gan
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
chaoswjc's Repositories
chaoswjc/cloth_gan
chaoswjc/Ad-papers
Papers on Computational Advertising
chaoswjc/attention
some attention implements
chaoswjc/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
chaoswjc/Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
chaoswjc/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
chaoswjc/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
chaoswjc/da-faster-rcnn
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
chaoswjc/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
chaoswjc/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
chaoswjc/dl-4-tsc
Deep Learning for Time Series Classification
chaoswjc/ffn
Flood-Filling Networks for instance segmentation in 3d volumes.
chaoswjc/google-access-helper
谷歌访问助手破解版
chaoswjc/Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
chaoswjc/instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
chaoswjc/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
chaoswjc/keras-pos-embd
Position embedding layers in Keras
chaoswjc/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
chaoswjc/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
chaoswjc/nnUNet
chaoswjc/proxy_pool
Python爬虫代理IP池(proxy pool)
chaoswjc/PyTorch-Encoding
A PyTorch CV Toolkit
chaoswjc/ResNeSt
ResNeSt: Split-Attention Network
chaoswjc/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
chaoswjc/thesis
chaoswjc/tips_for_interview
我的一些面试心得；自学CS历程分享；找工作经验分享
chaoswjc/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
chaoswjc/UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
chaoswjc/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
chaoswjc/wavenet
Keras WaveNet implementation