ramesh152 Goto Github PK
Name: Ramesh Kumar L
Type: User
Location: Bangalore
Name: Ramesh Kumar L
Type: User
Location: Bangalore
A resource repository for 3D machine learning
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
🖼️ Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017. Expanded : Towards Personalized Image Captioning via Multimodal Memory Networks. In IEEE TPAMI, 2018.
Tips and resources to prepare for Behavioral interviews.
This repository contains coding projects one can build with different difficulty levels.
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
Learn System Design concepts and prepare for interviews using free resources.
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
A framework for data augmentation for 2D and 3D image classification and segmentation
Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging
Brain tumor segmentation using a 3D UNet CNN
Keras implementation of paper by the same name
Brain tumor segmentation using fully-convolutional deep neural networks.
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
A Sample Repo
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
A list of cool features of Git and GitHub.
Minimal class to download shared files from Google Drive.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Implementation of Segnet, FCN, UNet and other models in Keras.
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
notebooks with example for machine learning examples
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Training
U-Net Biomedical Image Segmentation
Medical Imaging Processing
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.