April-Cai

Debiasing-Learning-to-Rank-Models-with-GANs

This is an implementation of ULTRGAN, an unbiased learning to rank model.

April-Cai.github.io

Using Typing, a template for Jekyll built especially for those who want to have a blog and pages quickly and lightly.

Code-wish

Java web team project

CoGAN

DeepCTR

DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

DSSM

Deep Structured Semantic Models

EasyTransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

elasticsearch

Open Source, Distributed, RESTful Search Engine

interfacegan

Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`

pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

ranking

Learning to Rank in TensorFlow

spotlight

Deep recommender models using PyTorch.

Surprise

A Python scikit for building and analyzing recommender systems

torchmf

matrix factorization in PyTorch

ULTRA

Unbiased Learning To Rank Algorithms (ULTRA)

Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.