Popular GitHub Repositories for Rf

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.

Lora/LoraWan Arduino board

RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)

Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.

RF-Next: Efficient Receptive Field Search for CNN(TPAMI2022, CVPR2021) Try it, you wouldn't regret it!

用于射频目标检测 (RF-DETR) 的 ONNX 模型，包含推理和可视化脚本

Fraud detection using lgb, catboost, rf, etc

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.

This project focuses on classifying spam/ham emails, using machine learning algorithms like LGR, NB, RF, DT etc.. and based on the accuracy score and precision score I chose logistic regression for the classification. And I have used streamlit for frontend.

My quick take on matching algorithms using RF, XGBoost on an imbalanced dataset.

This is Spark/Scala based Next Best Offer Recommendation Model which used Random Forest Classifier Algorithm

Source code for the BLEARVIS prototype combining CV-based and RF-based object detection.

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.

Offensive simulation engine for RF, logs, and deception ops.

An android application to classify 7 different types of skin cancers built by integrating a CNN-RF ensemble Deep Learning model using Kotlin.

One‑line fine‑tuning of RF‑DETR on selected classes from OpenImages V7

LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)

This repository is based on my research work "Detecting Freezing of Gait in Parkinson's Disease Patients Using Multi-Modal Machine Learning"