frankfqchen

angular2-google-chart

Angular 2 google chart

awesome-cnn

This is a list of cnn resources, which include tutorial, survey, reviews and seminars etc.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Deep-Learning-for-OCR

This is a reading list for deep learning for OCR (Based on https://github.com/hs105/Deep-Learning-for-OCR )

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

GRCNN-for-Face

Gated Recurrent Convolution Neural network for Face Recognition with Combined Angular Loss

learning-resources

This is my learning resources mainly related to big data and machine learning etc.

ng2-echarts

Angular2 library to use Echarts out of the box

spark-mysql-scala

Spark-MySQL-Scala Integration

SparkMLlibDeepLearn

spark deep learning fix some bug

frankfqchen/AETN

The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

frankfqchen/Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

frankfqchen/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

frankfqchen/CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

frankfqchen/d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

frankfqchen/data_competition

some data mining competition

frankfqchen/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.

frankfqchen/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)

frankfqchen/DeepCTR

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

frankfqchen/DeepFM_with_PyTorch

A PyTorch implementation of DeepFM for CTR prediction problem.

frankfqchen/DeepICF

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

frankfqchen/DeepInterestNetwork

frankfqchen/delayed-feedback-model

PyTorch implementation of delayed-feedback-model (DFM)

frankfqchen/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

frankfqchen/es_dfm

code of our AAAI 2021 paper Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

frankfqchen/GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

frankfqchen/InterHAt

Interpretable Click-through Rate Prediction through Hierarchical Attention

frankfqchen/kgpolicy

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

frankfqchen/LcfGeoProject

code and project of Geography

frankfqchen/lime

Lime: Explaining the predictions of any machine learning classifier

frankfqchen/nbdime

Tools for diffing and merging of Jupyter notebooks.

frankfqchen/NLP4Rec-Papers

Paper list of NLP for recommender systems

frankfqchen/nnPUlearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

frankfqchen/Pytorch_DeepFM

DeepFM for CTR prediction problem （pytorch 1.0）

frankfqchen/QCon2020-shanghai

QCon上海2020全球开发者大会PPT合集

frankfqchen/really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

frankfqchen/Recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

frankfqchen/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"

frankfqchen/Turingtopia_Videos_CTR

图灵联邦视频点击预测大赛－初赛第九名方案

frankfqchen/WokerLifeMatters

各大公司作息统计