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EDNet for pavement crack segmentation
landslide prediction algorithm base on efficientNetsB0 Classifier
visualization code for 3D human body annotation by EFT (Exemplar Fine-tuning)
🐾 EmotionCube: An intelligent companion robot is designed based on expression recognition and intelligent speech.
Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
ESPNet is an efficient scalable scene segmentation model which uses Pyramid Pooling Module (PPM) as a global contextual prior for feature extraction.
TensorFlow examples
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)
This is an optimized and efficient scene segmentation model which exploits multi-scale feature fusion technique for capturing contextual information from the scene. This model produces less parameters and FLOPS compare to many existing real-time scene segmentation model.
The fastai deep learning library
Temporary home for fastai v2 while it's being developed
[DEPRECATED] 🔊️ Audio with fastaiv1
The fastai book, published as Jupyter Notebooks
Discharge of Li-ion using FEA
On device image segmentation of meals in Android application. Trained on the Food201 dataset.
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
A tool for the frequency (or likelihood) ratio analysis of raster grids. Can be used for estimating landslide susceptibility.
Analysis of raster inputs for wetland identification and carbon stock modeling
A toolkit for processing Seaglider base station NetCDF files: despiking, smoothing, outlier detection, backscatter, fluorescence quenching, calibration, gridding, interpolation.
Google Research
This repository contains code to train object detection models like FRCNN for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using GANs.
code for paper "Graph Structure of Neural Networks"
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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.