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Name: Mohsen Afrasiabi
Type: User
Company: University of Wisconsin Madison
Location: Madison WI
Name: Mohsen Afrasiabi
Type: User
Company: University of Wisconsin Madison
Location: Madison WI
A paper list for Time series modelling, including prediciton and anomaly detection
Digital Signal Processing - Theory and Computational Examples
Brief introduction and implementations of related concepts to Dirichlet Processes: GEM distribution, Polya Urn, Chinese restaurant process, Stick-Breaking construction, and Posterior of a DP.
Build dirichletprocess objects for data analysis
A curated list of research papers related to learning disentangled representations
This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.
Experiments for understanding disentanglement in VAE latent representations
Collection of resources dealing with convergence of DL and neuro
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
code for decoding speech as text from neural data
Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)
Preprocessing and analysis scripts for the dPCA paper (eLife 2016)
EntroPy: complexity of (EEG) time-series in Python
Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.
A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An open source python framework for automated feature engineering
Analysis of data from the Framingham Heart Study using generalized linear models.
Tutorial on creating your own GAN in Tensorflow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
List of papers and code for relevant Generative Models
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
A GLM based approach to measure CFC
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.