JaneLou

AdaptiveAttention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

CLSR

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

Cpp-Primer

C++ Primer 5ed answers

DeepCTR

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

DeepFace

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

ESAM

Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)

faster_rcnn

Faster R-CNN

FATE

An Industrial Grade Federated Learning Framework

JaneLou/AdaptiveAttention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

JaneLou/bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

JaneLou/CLSR

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

JaneLou/DeepCTR

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

JaneLou/DeepFace

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

JaneLou/DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

JaneLou/ESAM

Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)

JaneLou/FATE

An Industrial Grade Federated Learning Framework

JaneLou/graph-learn

An Industrial Graph Neural Network Framework

JaneLou/hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

JaneLou/jieba

结巴中文分词

JaneLou/kaggletils

JaneLou/librec

LibRec: A Leading Java Library for Recommender Systems, see

JaneLou/mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

JaneLou/models

Models built with TensorFlow

JaneLou/NCL

[WWW22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

JaneLou/neural-image-captioning

Using scene-specific contexts and region-based attention in neural image captioning

JaneLou/neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

JaneLou/neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

JaneLou/opencv

Open Source Computer Vision Library

JaneLou/programming-collective-intelligence-code

Examples from Programming Collective Intelligence

JaneLou/RSPapers

Must-read papers on Recommender System.

JaneLou/sca-cnn

image captions generation with spatial and channel-wise attention

JaneLou/SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

JaneLou/STAM

Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"

JaneLou/STOSA

JaneLou/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

JaneLou/WSDM2022-PTUPCDR

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

JaneLou/WWW-22-DIHN

JaneLou/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow