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Type: Organization
Type: Organization
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
A python library for visualizing Artificial Neural Networks (ANN)
Anomaly detection related books, papers, videos, and toolboxes
Anomaly detection on X-Ray MURA dataset using GAN.
Image augmentation library in Python for machine learning.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
LSTM for time series forecasting
An implementation of a Convolutional Neural Network to Classify Music Genres
The world's simplest facial recognition api for Python and the command line
Image Denoising with Generative Adversarial Network
Deep Learning for humans
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Anomaly detection for temporal data using LSTMs
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
Python code for common Machine Learning Algorithms
UNIVR PDE course project and just for fun
Sample implementation of Neural Ordinary Differential Equations
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
SKA Radio Telescope Simulator
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Working with Rstudio
Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification
Wiser statistics journal club
Generic U-Net Tensorflow implementation for image segmentation
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
Repository with simulated datasets and networks architectures
Automatic extraction of relevant features from time series:
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.