frankfqchen
Interested in machine learning, especially in deep learning Wechat:fq_Chen
@DeepLearningOCRResearchers
frankfqchen's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
jupyter/nbdime
Tools for diffing and merging of Jupyter notebooks.
zhougr1993/DeepInterestNetwork
microsoft/NeuronBlocks
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
PAIR-code/what-if-tool
Source code/webpage/demos for the What-If Tool
qiaoguan/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Tencent/DCache
A distributed in-memory NOSQL system based on TARS framework, support LRU algorithm and data persists on back-end database. Users can easily deploy, publish, and scale services on the web interface.
kang205/SASRec
SASRec: Self-Attentive Sequential Recommendation
JianGoForIt/YellowFin
auto-tuning momentum SGD optimizer
chenxijun1029/DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
kiryor/nnPUlearning
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
JianGoForIt/YellowFin_Pytorch
auto-tuning momentum SGD optimizer
chenkkkk/User-loan-risk-prediction
马上AI全球挑战者大赛 rank 1st
aldro61/pu-learning
Positive and unlabeled learning wrappers for scikit-learn
xiangwang1223/kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
chenkkkk/TianChi_YiDongTuiJian_forecast
阿里移动推荐算法
wuliwei9278/SSE-PT
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
linzh92/DeepICF
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
ThyrixYang/es_dfm
Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Importance Weighting (FSIW) (Yasui et al. 2020), Fake Negative Weighted (FNW) (Ktena et al. 2019) and Fake Negative calibration(FNC) (Ktena et al. 2019)
Hyfred/Pytorch_DeepFM
DeepFM for CTR prediction problem (pytorch 1.0)
chenkkkk/User-purchase-forecast
招商银行信用卡中心校园大赛:消费金融场景下的用户购买预测 Rank 3rd
TiScrip/QCon2020-shanghai
QCon上海2020全球开发者大会PPT合集
WHUIR/CARP
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
zyli93/InterHAt
This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
QLWeilcf/LcfGeoProject
code and project of Geography
Junqi-Zhang/AETN
The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow
dai08srhg/delayed-feedback-model
PyTorch implementation of delayed-feedback-model (DFM)
Tersaiz/Turingtopia_Videos_CTR
图灵联邦视频点击预测大赛-初赛第九名方案
zhangxiann/data_competition
some data mining competition