mshisheh Goto Github PK
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Type: User
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Bayesian Optimization using GPflow
Very basic examples of Gaussian Process Regression using GPyTorch and GPflow, modified from examples given by each team.
Gaussian Process and Uncertainty Quantification Summer School 2018
Gaussian Process Optimization using GPy
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Hands-On Application Development with PyCharm, published by Packt
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Hands-On Ensemble Learning with Python, published by packt publishing
Hands-on Exploratory Data Analysis with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Introduction to Machine Learning in R
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Jupyter metapackage for installation, docs and chat
Published by Packt
Learning MongoDB
notebooks with example for machine learning examples
Notebooks for "Probabilistic Machine Learning" book
A collection of notebooks of my Machine Learning class written in python 3
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
Mastering Pandas Second Edition, published by Packt
Mastering PyTorch, published by Packt
Notes on 'Machine Learning - A Probabilistic Perspective'
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.