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2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

albert-tf2.0

ALBERT model Pretraining and Fine Tuning using TF2.0

algs4

Algorithms, 4th edition textbook code and libraries

amttl

Code & Data for our COLING 2018 paper "Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text"

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bert

TensorFlow code and pre-trained models for BERT

bert-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

bert4keras

light reimplement of bert for keras

ccks2018summary

self summary after attending 2018全国知识图谱与语义计算大会，China Conference on Knowledge Graph and Semantic Computing

ccks2019_el

CCKS 2019 Task 2: Entity Recognition and Linking

cmedqa2

This is updated version of the dataset for Chinese community medical question answering.

cnmer

CNMER: A model for Chinese medical named entity extraction

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

complexeventextraction

A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn.pytorch

Convolutional recurrent network in pytorch

ctr_prediction

CTR prediction using FM FFM and DeepFM

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

datacastle-solution

1st Place Solution for DataCastle-CashBus Competition

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepctr

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

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

didi_predict_model

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction

docs

TensorFlow documentation