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Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
A journey into Convolutional Neural Network visualization
算法工程师面试题整理
fast image augmentation library and easy to use wrapper around other libraries
It's the list with popular deep learning models related to classification and segmentation task
A curated list of resources about few-shot and one-shot learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
Panoptic Segmentation Paper List.
A list of papers and datasets about point cloud analysis (processing)
List of satellite image training datasets with annotations for computer vision and deep learning
A resource repository for scene understanding
:metal: awesome-semantic-segmentation
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
A curated list of papers, code and resources pertaining to zero shot learning
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
BEPS-SIF is a global sun-induced chlorophyll fluorescence model which considers the multiple scattering effects within a canopy.
Homepage for STAT 157 at UC Berkeley
Building detector algorithms from second SpaceNet Challenge
Some exercises and problems in Introduction to Algorithms 3rd edition.
吴恩达老师的机器学习课程个人笔记
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
experiemntal code for “Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing”
cvpr2019 papers
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.