enesayan's repositories
BBox-Label-Tool
A simple tool for labeling object bounding boxes in images.
PlotNeuralNet
Latex code for making neural networks diagrams
turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
AlexeyAB_darknet
Some bug fixes or extra functions for AlexeyAB darknet.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
cnn_finetune
Fine-tune CNN in Keras
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepGrabCut-PyTorch
Deep GrabCut in PyTorch
DigitalHairRemoval
There has been numeruous advancements towards utilizing deep networks, ANNs, AI, etc in tasks like detecting the skin disease, type of tumour, etc. However, it becomes difficult for the networks to learn the features since, most of the skin images are occluded by hair. Thus, there is a need for pre-processing of the skin images to remove these obstructing hair. This sample project aims to remove the hair noise from the skin image with the help of Morphological filtering.
faster-rcnn-keras
faster rcnn based on keras that can train your own dataset
Jekyll-Mono
:red_circle: Jekyll-Mono :large_blue_circle: is a simple and elegant GitHub Profile cum Blog theme
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
keras-yolo3-1
A Keras implementation of YOLOv3 (Tensorflow backend)
PConv-Keras
Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"
PhD
Temp Files
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Skin-Cancer
Diagnosing of Skin Cancer By Computerized Systems
State-of-Art-CNN-Models
State of Art CNN Models implementation with Keras
Surekli-Egitim
Surekli Egitim
udlbook
Understanding Deep Learning - Simon J.D. Prince
YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"