Pinned Repositories
Augmentor
Image augmentation library in Python for machine learning.
BBox-Label-Tool
A simple tool for labeling object bounding boxes in images.
PlotNeuralNet
Latex code for making neural networks diagrams
squeezenet-keras
SqueezeNet Keras demo
ssd_keras
A Keras port of Single Shot MultiBox Detector
turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
enesayan's Repositories
enesayan/Augmentor
Image augmentation library in Python for machine learning.
enesayan/BBox-Label-Tool
A simple tool for labeling object bounding boxes in images.
enesayan/PlotNeuralNet
Latex code for making neural networks diagrams
enesayan/ssd_keras
A Keras port of Single Shot MultiBox Detector
enesayan/turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
enesayan/AlexeyAB_darknet
Some bug fixes or extra functions for AlexeyAB darknet.
enesayan/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
enesayan/BBox-Labels-Tool
enesayan/cnn_finetune
Fine-tune CNN in Keras
enesayan/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
enesayan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
enesayan/DeepGrabCut-PyTorch
Deep GrabCut in PyTorch
enesayan/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.
enesayan/faster-rcnn-keras
faster rcnn based on keras that can train your own dataset
enesayan/Jekyll-Mono
:red_circle: Jekyll-Mono :large_blue_circle: is a simple and elegant GitHub Profile cum Blog theme
enesayan/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).
enesayan/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
enesayan/keras-yolo3-1
A Keras implementation of YOLOv3 (Tensorflow backend)
enesayan/ML
Machine Learning Course
enesayan/PConv-Keras
Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"
enesayan/PhD
Temp Files
enesayan/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
enesayan/sem
Surekli Egitim
enesayan/Skin-Cancer
Diagnosing of Skin Cancer By Computerized Systems
enesayan/State-of-Art-CNN-Models
State of Art CNN Models implementation with Keras
enesayan/Strateji-Faaliyet
enesayan/Surekli-Egitim
Surekli Egitim
enesayan/udlbook
Understanding Deep Learning - Simon J.D. Prince
enesayan/unet
unet for image segmentation
enesayan/YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"