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Name: mse
Type: User
Name: mse
Type: User
Approaching (Almost) Any Machine Learning Problem
Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
Source code for deep symbolic optimization.
Unofficial implementation of 2021 Neurocomputing paper "VAE-based Deep SVDD for anomaly detection" TensorFlow 2.0 version
The basic distribution probability Tutorial for Deep Learning Researchers
For data recovery of Structural Health Monitoring
[ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
Multi-level Wavelet Convolutional Neural Networks
Neural Decomposition Code for Time Series
Neaural Decomposition (ND)
PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
PRML algorithms implemented in Python
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Matlab code of machine learning algorithms in book PRML
A Collection of Variational Autoencoders (VAE) in PyTorch.
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation.
Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection
This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf
An implementation of Olshausen and Field (96) in PyTorch
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.
Transplant is an easy way of calling Matlab from Python
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.