joshuac3 Goto Github PK
Type: User
Type: User
Kaggle's Allstate Purchase Prediction Challenge
Interactive data exploration with Altair
This is a non-trivial implementation of anomaly detection in time series as described in (https://ll.mit.edu/mission/cybersec/publications/publication-files/full_papers/2012_08_05_Carter_IEEESSP_FP.pdf).
Plotting library for IPython/Jupyter Notebooks
Contextual Anomaly Detector
A library of sklearn compatible categorical variable encoders
A minimal template for python packages
energyscope v1.0: MILP monthly energy model as in (Moret, 2017): https://infoscience.epfl.ch/record/231814. More recent releases available @ the energyscope project repo: https://github.com/energyscope/EnergyScope
Automating IT Operations using Machine Learning
GEM - Predict Imbalance Price on Power Market
Collection of publicly available libraries
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Gradient Boosting With Piece-Wise Linear Trees
Generate Ground Truth Data for one building in each campus, capturing all different types of sensors and relationships
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
Hierarchical neural network classifier
Fit interpretable models. Explain blackbox machine learning.
Josh's Rep
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Missing data visualization module for Python.
mlens – a library for ensemble learning
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
fit piecewise linear data for a specified number of line segments
Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData
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.