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Name: Ian
Type: User
Company: University of Notre Dame
Location: USA
Name: Ian
Type: User
Company: University of Notre Dame
Location: USA
Project on discovering new effective pretraining methods for 3D medical image segmentation.
TOP5 code for 2017 AI Challenger Scene Classification
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
A curated list of awesome computer vision resources
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
:metal: awesome-semantic-segmentation
Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
Caffe: a fast open framework for deep learning.
Image data augmentation util for Caffe
Fork of the caffe2keras converter in MarcBS' Keras fork
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now Val_acc>99.5%.
Interactive literature map of knee cartilage segmentation publications
Evaluation code of CHAOS challenge in MATLAB, Python and Julia languages.
closed-contour segmentation using graph theory and dynamic programming
π Solutions to Introduction to Algorithms Third Edition
Implement CLRS psuedocode in C++
Fine-tune CNN in Keras
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Persistent homology calculation for 1D (scalar time series), 2D (image), and 3D (voxel) arrays
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
Jupyter Notebook that illustrates how to query, package, and download data from NIMH Data Archive
Caffe Image Data Augmentation
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A paper list of object detection using deep learning.
Automatic Segmentation of Knee Cartilage from MRI using Deep Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.