nhatipoglu Goto Github PK
Type: User
Bio: PhD Candidate, Yildiz Technical University
Location: Turkey
Type: User
Bio: PhD Candidate, Yildiz Technical University
Location: Turkey
Active Learning For Object Detection
[Advanced] Data Science Fundamentals and Practical Applications for Financial Engineering
A curated list of deep learning resources for computer vision
:metal: awesome-semantic-segmentation
Detecting & Segmenting cancer cells in histology images from PanNuke dataset. Using Deep Learning neural networks architectures.
CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
Color Deconvolution Algorithms for H+E images
Best Practices, code samples, and documentation for Computer Vision.
This is a matlab implementation of CNN on MNIST
MATLAB implementation of Deep Learning with dropout
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
keras implementation of Faster R-CNN
Matlab codes for 2D Convolutional Neural Network
Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network
Multimodal prototyping for cancer survival prediction - ICML 2024
Text and supporting code for Modeling and Simulation in Python
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
Automatic neural network visualizations generated in your browser!
This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tissue sections using data from our MoNuSeg Challenge.
Interactive Segmentation of Nucleus
Necati Ergin tarafından verilen Online C++ Programlama Dili Kursu. Kurs 12 Eylül 2020 tarihinde başlayacaktır.
Tools for computational pathology
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.