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Classic papers and resources on recommendation
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
An Implementation of Fully Convolutional Networks in Tensorflow.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
all kinds of text classification models and more with deep learning
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Library for fast text representation and classification.
100+ Chinese Word Vectors 上百种预训练中文词向量
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
Recognizing Surgical Activities with Recurrent Neural Networks
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
DeepLabv3+ built in TensorFlow
Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"
Cancer metastasis detection with neural conditional random field (NCRF)
Deformable Convolutional Networks
Lung fields segmentation on CXR images using convolutional neural networks.
Generic U-Net Tensorflow implementation for image segmentation
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Models and examples built with TensorFlow