A framework for large scale recommendation algorithms.
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Updated
Aug 21, 2024 - Python
A framework for large scale recommendation algorithms.
This project is part of a lab assignment where we explored the application of wide and deep networks to the Bank Marketing dataset.
DeepTables: Deep-learning Toolkit for Tabular data
TensorFlow Script
Predicting the Euro price using news and price fluctuations.
A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area
Handwritten Text Extraction from an Image of a Document using Transformers
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
This is a C# WPF software, which helps to understand how TensorFlow and computer vision works in general. The efficiency of code will be improved as the project expands. Feel free to suggest how the code can be improved.
TensorFlow template application for deep learning
a simple yet versatile recommendation systems library in python
深度学习与推荐系统学习,理论结合代码更香。
SIGSPATIAL 2021 GISCUP ETA Contest
CTR模型代码和学习笔记总结
Wide and Deep Learning for CTR Prediction in tensorflow
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
Deep-Learning based CTR models implemented by PyTorch
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rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
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