Recommender Learning with Tensorflow2.x
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Updated
Apr 29, 2022 - Python
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)
DeepTables: Deep-learning Toolkit for Tabular data
CTR模型代码和学习笔记总结
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)
主流推荐系统Rank算法的实现
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).
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
A package for AFM image reconstruction and compressed sensing in general
An AFM image analysis program to batch process data and obtain statistics from images
A library to read files produced by NT-MDT software
Tool for automating roughness/step height calculations from AFM measurements of wafer surfaces for hybrid bonding
Atomic Force Microscopy (AFM) images with DNA strands and nucleosome can be segmented by Fully Convolutional Neural Networks (FCN). This repository contains scripts to design, train and validate them.
This is the GitHub repository for AFMDAQ Visualizer, a project with the objective of acquiring and processing raw AFM data to plot variables of interest related to the type of microscopy.
a python script for training and education purpose simulating an AFM measurement (session) of graphene on a WITec alpha300 RA device
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