Yağmur Çiğdem Aktaş's repositories

3D-Multi-Object-Tracking-using-Lidar

A 3D Multi Object Tracking using Lidar

Data-Structures-and-Algorithms-with-Python

This repo contains various data structures and algorithms problems solved using Python

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Image-Processing

This is a repo having some Image Processing functions and source codes written in MATLAB. You can reach detailed explanations of these subjects terms and the use of these codes from the link :

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Faster_RCNN_for_Open_Images_Dataset_Keras

Faster R-CNN for Open Images Dataset by Keras

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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deepface

A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

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LabelBOX

Opensource Annotation and Dataset Track Tool

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mots_tools

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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Open-GroundingDino

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

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Various-Sensor-Integrations

This repository contains a robotic platform's sample code files including Sensor to Microprocessor (PIC32MX250F128D) Communication, Optimisation & Interpretation of the data received from various sensors like Color, Proxy Perception, BMI160 Accelerometer & Gyro, ESP8266 Wifi Module, 2 DC motors, RGB Leds and IRDA (an infrared sensor used to make robots communicate between each other)

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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ZSCL

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

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