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.
Everything about Transfer Learning and Domain Adaptation--迁移学习
PI Web API R package which is REST client library to get PI data through PI Web API.
TensorFlow's Visualization Toolkit
A repo for organized code that goes with the BuildSys paper
Unofficial Python API wrapper for public APIs at developers.data.gov.sg
TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Python version of Richardson tool
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
A collection of non-residential buildings for performance analysis and algorithm benchmarking
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
simple tutorials and examples of wordcloud-python
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
RStan, the R interface to Stan
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Interfacing EnergyPlus Using R -- Intro to 'eplusr' Package
VIP cheatsheets for Stanford's CS 229 Machine Learning
Jupyter notebooks for the Energy and Buildings Publication
Artificial Intelligence projects, documentation and code.
The OpenStudio Analysis Spreadsheet is a front-end for the OpenStudio Server, allowing for users to create large-scale cloud analyses using OpenStudio measures.
Corresponding post at http://efavdb.com/gaussian-processes/
Breakout Detection via Robust E-Statistics
Open source gbXML to EnergyPlus convertor