afm

Recommender Learning with Tensorflow2.x

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

DeepTables: Deep-learning Toolkit for Tabular data

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

CTR模型代码和学习笔记总结

主流推荐系统Rank算法的实现

Scientific analysis of nanoscale materials imaging data

基于 Pytorch 实现推荐系统相关的算法

Font Metrics Parser for Prawn

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

An AFM image analysis program to batch process data and obtain statistics from images

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).

A package for AFM image reconstruction and compressed sensing in general

Easy-to-use pytorch-based framework for RecSys models

一些CTR模型和常见特征工程的方法

A collection of Agent Skills for building iOS/macOS applications with Apple's Foundation Models framework (Apple Intelligence). These skills are designed for zero-friction AI-assisted development with on-device models.

A library for loading various atomic force microscopy file formats.

A comprehensive GUI wrapper application for Apple's Foundation Models Adapter Training Toolkit, providing an intuitive interface for training LoRA adapters for Apple's on-device foundation models.