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2018-ccf-bdci-china-unicom-research-institute-top2

2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案

2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

2018ubdc

2018高校大数据挑战赛

2022ccf_iceberg

airflow

Apache Airflow

awesome-nlp-resources

a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。

bdci2018-chinauuicom-1st-solution

这是BDCI2018的联通赛题第一名解决方案

bert

TensorFlow code and pre-trained models for BERT

caffe

Caffe: a fast open framework for deep learning.

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

challenge

微信大赛baseline

char-rnn-writer

chinese-corpus

中文单/多轮对话语料库

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinesetextclassifier

中文商品评论短文本分类器，可用于情感分析

cluedatasetsearch

搜索所有中文NLP数据集，附常用英文NLP数据集

cnn-dssm

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

colorization-1

本项目使用Keras复现论文Colorful Image Colorization内容

colorization-tf

A Tensorflow implementation of ECCV2016 paper([Colorful Image Colorization](https://arxiv.org/pdf/1603.08511.pdf))

ctr_prediction

CTR prediction using FM FFM and DeepFM

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-exemplar-based-colorization

The source code of "Deep Exemplar-based Colorization".

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepmodel