matachuann Goto Github PK

ad-papers

Papers on Computational Advertising

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

coding-interview-university

A complete computer science study plan to become a software engineer.

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

ku8eye

learngit

libffm

A Library for Field-aware Factorization Machines

pytorch_vae_cvae

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

recommenders

Best Practices on Recommendation Systems

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

rspapers

Must-read papers on Recommender System.

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

surprise

A Python scikit for building and analyzing recommender systems

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

textrecognitiondatagenerator

A synthetic data generator for text recognition

vae_cf

Variational autoencoders for collaborative filtering

variationalrecurrentneuralnetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).