Lists (1)
Sort Name ascending (A-Z)
Stars
A PyTorch implementation of Ranking Distillation
This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)
Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
Using SQL's Turing Completeness to Build Tetris
🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
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)
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch
In this project we utilize OpenCV t in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. As well this project will pres…
A golang ebook intro how to build a web with golang
Count a GitHub user's stars and forks(在线统计账号star数量)
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.
我的第二大脑 second brain,我的数字花园 digital garden,用obsidian双链笔记软件写作而成
This repository collects debiasing methods for recommendation
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Free Monero RandomX Miner and unified CryptoNight miner
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Routines and data structures for using isarn-sketches idiomatically in Apache Spark