trademob / t-digestLinks
Python T-Digest Module
☆10Updated 9 years ago
Alternatives and similar repositories for t-digest
Users that are interested in t-digest are comparing it to the libraries listed below
Sorting:
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 8 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- Machines and people collaborating together through Jupyter notebooks.☆18Updated 7 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- A simple demonstration of sub-sequence sampling as used for anomaly detection with EKG signals☆102Updated 4 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Currency Portfolio Optimization - IPython notebook and data☆26Updated 9 years ago
- Probabilistic Data Structures in Python (originally presented at PyData 2013)☆55Updated 3 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- How to use automatic polynomial features and neural network mode in VW☆17Updated 11 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Scripts to Analyze Pronto's Data Release☆24Updated 9 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 8 years ago
- Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox☆15Updated 9 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆41Updated 9 years ago
- Uncertainty quantification book chapter☆50Updated 9 years ago
- Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks☆21Updated 9 years ago
- Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation☆45Updated 8 years ago
- This repository is not maintained anymore. ConfusionMatrix is now part of pandas-ml☆19Updated 8 years ago
- ☆33Updated 7 years ago
- Machine learning evaluation database☆24Updated 7 years ago
- TF-IDF with Spark for the Kaggle popcorn competition☆10Updated 9 years ago