Pinned Repositories
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
Debiasing-Learning-to-Rank-Models-with-GANs
This is an implementation of ULTRGAN, an unbiased learning to rank model.
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`
April-Cai's Repositories
April-Cai/Debiasing-Learning-to-Rank-Models-with-GANs
This is an implementation of ULTRGAN, an unbiased learning to rank model.
April-Cai/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.
April-Cai/Code-wish
Java web team project
April-Cai/CoGAN
April-Cai/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.
April-Cai/dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
April-Cai/DSSM
Deep Structured Semantic Models
April-Cai/EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
April-Cai/elasticsearch
Open Source, Distributed, RESTful Search Engine
April-Cai/interfacegan
Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`
April-Cai/pipelines-azureml
Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service
April-Cai/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.
April-Cai/ranking
Learning to Rank in TensorFlow
April-Cai/spotlight
Deep recommender models using PyTorch.
April-Cai/Surprise
A Python scikit for building and analyzing recommender systems
April-Cai/torchmf
matrix factorization in PyTorch
April-Cai/ULTRA
Unbiased Learning To Rank Algorithms (ULTRA)
April-Cai/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.