Popular GitHub Repositories for Lr Fhss

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

CTR prediction model based on spark(LR, GBDT, DNN)

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Distributed FM and LR based on Parameter Server with Ftrl

PyTorch implementation of some learning rate schedulers for deep learning researcher.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.

Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR

Machine learning and Deep Learning Hackathon Solutions

A method for assigning separate learning rate schedulers to different parameters group in a model.

This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.

Image Pearer automates the creation of image pairs from a LR and a HR source for neural network model training.

TorcHood is a user-friendly wrapper for PyTorch & PyTorch lightning that makes neural network training effortless. It provides features such as LR finder, grad cam, and training history. It also supports sample models and datasets for rapid prototyping.

LoRa Basics Modem-E

A centralized repository for technical and cybersecurity white papers published by MottaSec. Each folder contains a distinct white paper along with any relevant supporting materials, tools, or references. This repository serves as a knowledge base reflecting our expertise, research, and thought leadership across key areas of cybersecurity.

Analyze the performance of 7 optimizers by varying their learning rates