scikit-learn / scikit-learn-benchmarks
Results of scikit-learn asv benchmarks
☆35Updated 6 months ago
Related projects: ⓘ
- Benchmarks for various machine learning packages☆91Updated 10 years ago
- Project management related documents for scikit-learn☆18Updated 3 weeks ago
- Script to configure a cloud server to build the documentation and plots and update the sklearn website☆16Updated 3 years ago
- Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications☆47Updated last month
- A conda-smithy repository for scikit-learn.☆7Updated 8 years ago
- Tools for machine learning & modeling with noisy data☆10Updated 9 years ago
- Data used in some examples☆35Updated 3 years ago
- Various One-off Lectures on Python☆24Updated 8 years ago
- Helpers for constructing scikit-learn grid search☆37Updated 4 years ago
- A set of benchmark problems and implementations for Python☆62Updated last year
- A consolidated package of small extensions to scikit-learn☆24Updated last year
- Small template for setting up Travis CI with Python☆30Updated 7 years ago
- AutoWeka for python☆28Updated 10 years ago
- Materials for the Advanced Data Analysis Techniques with Apache Spark mini-course☆27Updated 6 years ago
- Utility functions for Python's multiprocessing standard library module☆36Updated 6 years ago
- Automated Machine Learning: go from 'X' to 'y' without effort.☆45Updated 5 years ago
- Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+☆23Updated last year
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆12Updated 3 years ago
- The Path of the PyData Ninja☆16Updated 9 years ago
- Keras and Tensorflow tutorial on Floyd☆9Updated 7 years ago
- Introduction to Pandas, Scikit-Learn and Keras☆13Updated 5 years ago
- Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.☆16Updated 8 years ago
- Python for Engineers☆24Updated 2 years ago
- Understanding Seattle Bike Count data☆17Updated 7 years ago
- Parallel Computing with Python☆29Updated last year
- Tutorial on interpreting and understanding machine learning models☆67Updated 5 years ago
- A python wrapper for the PROPACK library☆51Updated 7 years ago
- Using Genetic Algorithms to aid Machine Learning☆18Updated 6 years ago
- ☆15Updated 6 years ago
- A Bayesian testing framework written in Python.☆95Updated 9 years ago