ahmetfurkaann's Projects
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
Machine learning and computer vision to detect and analyze basketball shots in real-time (2023)
High-resolution breast cancer screening with multi-view deep convolutional neural networks
Implementation of medical image segmentation and deep learning framework with CNN and U-net
This is a deep learning project to classify breast cancer (Birads from 1 to 5) from mammography and CEDM Images.
This is a helper repository for the CDD-CESM Mammogram Dataset containing all the tools for pre-processing and segmentation models.
Carefully curated resource links for data science in one place
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Bir firmada çalışan elemanlara ait bilgiler, hastalık bilgileri ve korona bilgileri tutulup belirli sorgularla filtreleme seçenekleri mevcuttur.
:books: Freely available programming books
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Learning and Building Convolutional Neural Networks using PyTorch
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
video2pdforslide
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Free to use online tool for labelling photos. https://makesense.ai
MVCNN Implementation
Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.