Stars
The intelligent fault diagnosis methods of HNU IDG
温州大学《机器学习》课程资料(代码、课件等)
SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd
2018 phm data challenge, ion mill machine RUL & fault diagnosis
LSTMS for Predictive Maintenance
Restricted Boltzmann Machines in Python.
Keras implementations of Generative Adversarial Networks.
This is the repository which contains all 6 projects' source code in ML nano degree.
Fully Convlutional Neural Networks for state-of-the-art time series classification
A python package that includes many methods for decoding neural activity
A curated list of awesome Matlab frameworks, libraries and software.
Summaries and notes on Deep Learning research papers
A curated list of awesome deep learning applications in the field of neurological image analysis
scikit-learn: machine learning in Python
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
LIBSVM -- A Library for Support Vector Machines
An Open Source Machine Learning Framework for Everyone
Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder
The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework
This repository contains MSc in Sustainable Energy Systems Dissertation Thesis Test Results
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction
Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwritten digits data.