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AlexNet model from ILSVRC 2012
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)
基于cnn和lstm的动作视频序列识别
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
This repo contains all the projects that I have personally undertaken to enhance my skills and understand behavior of data and associated patterns or best-fitted predictions.
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
CNN architecture exploration using Genetic Algorithm
Perform a LOESS curve fitting on a set of data points.
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
the loader for common open source mechanical fault diagnosis datasets (CWRU, MFPT, SouthEast Uni., Paderborn Uni.)
This repo contains the notebooks that is used in Medium posts.
mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
故障诊断与寿命预测
Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
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 ;)
Probabilistic reasoning and statistical analysis in TensorFlow
to prediction the remain useful life of bearing based on 2012 PHM data
For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
PyTorch Implementation of SAE from AtoZ
ICSE'18: Tuning Smote
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
SQ dataset for fault diagnosis pulished by Xi'an jiaotong University
Practice Tensorflow GAN for MNIST
Collection of generative models in Tensorflow
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Some interesting TensorFlow tutorials for beginners.
VGG19 and VGG16 on Tensorflow
A simple LSTM net for mnist dataset using TensorFlow
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.