Recommender Learning with Tensorflow2.x
Factorization Machine models in PyTorch
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
NeuPy is a Tensorflow based python library for prototyping and building neural networks
DeepTables: Deep-learning Toolkit for Tabular data
TensorFlow Script
CTR模型代码和学习笔记总结
主流推荐系统Rank算法的实现
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
En este repositorio se presentan los análisis del proyecto "Diversidad, abundancia y distribución del ictioplancton y su relación con las condiciones oceanográficas y los períodos mareales en la subregión Sanquianga-Gorgona, frente al delta del río Patía", llevados a cabo por el Centro de Investigaciones Oceanográficas e Hidrográficas del Pacífi…
This repository contains the university project for the Biometrics course. The project focuses on the implementation and analysis of a Probabilistic Neural Network (PNN) for multilingual recognition without audio
DEEPSEA.AI was developed as part of the coursework for the Artificial Intelligence program at Esprit School of Engineering University By SAMSAN
A Probabilistic Neural Network (PNN) algorithm for classification of Pima Indians Diabetes database
To associate your repository with the pnn topic, visit your repo's landing page and select "manage topics."