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
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
CTR模型代码和学习笔记总结
Scientific analysis of nanoscale materials imaging data
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
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).
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 controller(CES) for controlling container egress traffic. Working with F5 AFM.
C++11/Python3 library to read/write High Speed AFM data file
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