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🌊 Analyze environmental DNA sequences with DeepSea-AI to uncover biodiversity insights using deep learning and phylogenetic techniques.

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。

DEEPSEA.AI was developed as part of the coursework for the Artificial Intelligence program at Esprit School of Engineering University By SAMSAN

Undergraduate thesis project focusing on Parameter Isolation methods to achieve Continual Learning on DNNs

DeepTables: Deep-learning Toolkit for Tabular data

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Collection of neural network models and experiments using R

Multiclass classification of cardiac arrhythmia from the ECG recordings

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

ChABC Project

Factorization Machine models in PyTorch

TensorFlow Script

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

Analysis of various genetic backgrounds to help elucidate aspects of Rett syndrome

University course 'Deep learning'

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

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…

Implementation of PNN RBF MLP in MATLAB with Aggregation, Flame databases