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catboost-nids

Gradient Boosting Machine (XGBoost, CatBoost, RandomForest, Decision Tree, Scikit learn) based network intrusion detection method, on imbalanced CIC-IDS-2018 dataset

convert-yolo-perdictions-to-caltech-pedestrian-format

This is my dirty code to convert YOLO object detector predictions to Caltech Pedestrian Detection format

convert_caltech_annos_to_yolo

This script will convert caltech annotations into yolo format

convert_mot16_to_yolo

Converts MOT16 and MOT17 annotations to YOLO format.

darknet

YOLOv2 Windows version of Yolo Convolutional Neural Networks

darknet_scripts

Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?

data-sources-for-data-science

List of data sources where u can get specific dataset and use for your R&D

eigenface

EigenFace Nearast: Neighbor Face Recognition with PCA

iris_segmentation

Midterm Project for Biometrics class @ Inha University 2019

keyword_forcasting

khan_academy_stats

learn-data-science

lightweight_facial_analysis

Face Detection, Facial Landmark Detection, Emotion Recognition and Hand Detection. Works even on resource constrained laptop/pc | GUI | User Interface

luqman_track

Simple, online, and realtime tracking of multiple objects in a video sequence.

luqmon_tracking

A collection of SOTA real-time, multi-object trackers for object detectors

micro_improvement_habit

Har kunlik kichkina o'sish orqali katta natijaga erishish

monthly_masjid_contibutions

This repo intends to visualize monthly contributions and expenses of the Ashrafia Masjid @ Inha University South Korea

net_intrusion_detection

Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution

net_traffic_samplers

Network traffic sampler Sketch Guided Sampling, Packet Sampling, Random Sampling, Fast Filtered Sampling, Selective Flow Sampling

nids-with-sampling

Network Intrusion Detection in the Presence of Traffic Sampling. Deep Learning and Machine Learning & Data Science &

oc_sort

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

open-data-exploratory

practical-steps-to-improve-ml-performance

receptivity

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

robyn-with-rshiny

sample_mvp_video_transcription

sampledflowmeter

slides

software_programming_in_python

repository for the python programming class 2022-2 Inha University