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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
Introduction to Bayesian Analysis in Python, published by Packt
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Ask Me: Question Generating Agent
A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to deal with simple and complex sentences" by Das et.al
😎 Awesome lists about all kinds of interesting topics
List of resources for bayesian inference
A list of schools and researchers in computational neuroscience
Papers from the intersection of deep learning and neuroscience
😎 A curated list of the Question Answering (QA)
Resources, datasets, papers on Question Answering
Reinforcement learning resources curated
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
This curated list contains python packages for time series analysis
BAyesian Model-Building Interface (BAMBI) in Python.
Bayesian Analysis with Python (Second Edition)
Basic Bayesian analysis for comparing two groups with continuous and binary outcomes
Fit generalized linear models in python.
A collection of Bayesian data analysis recipes using PyMC3
Bayesian Analysis with Python by Packt
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Presented at Scipy Conference 2019
A python tutorial on bayesian modeling techniques (PYMC3)
Doing Bayesian statistics in Python!
bayesian modelling on google colab - mindfulness data (bayesian general linear model)
Implementations of Bayesian methods, following Bishop's pattern recognition and machine learning
Fitting Gaussian process models in PyMC3: Bayesian Mixer London 2017 seminar
Code for a tutorial on Bayesian Statistics by Allen Downey.
Bayesian Python: Bayesian inference tools for 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.