Yamac Tan's Projects
Simultaneous object detection and tracking using center points.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
This repository includes project studies on CRM Analytics, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
This repository includes project studies on SQL Module, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
The source code of ECCV16 'Deep Joint Image Filtering'.
DO480 Repository for Sample Applications
Python Flask Deployment of the Employee Attrition Prediction project which was carried out within the scope of Turkcell Data Science Bootcamp Final Project.
This repository includes project studies on Feature Engineering Course, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
Implementation of Guided Image Filtering.
The shell script that I wrote to manually control the 5V PWM fan which I use on my Nvidia Jetson Nano Developer Kit.
Sample Kubernetes yaml files for reference and tool function tests.
Kodluyoruz için Hazırladığım Video Eğitim Seti Repo'sudur. YouTube Kanalım: https://www.youtube.com/hakanyalcinkaya
This repository includes project studies on Machine Learning Course, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
This repository includes project studies on Measurement Problems, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
This repository includes project studies on NLP Module, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp
Repository of Patika.dev Backend Bootcamp Assesment 1
[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation
Image-to-Image Translation in PyTorch
This repository includes project studies on Recommendation Systems, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
This repository includes project studies on Time Series, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).