Speedml / speedmlLinks
Speedml is a Python package to speed start machine learning projects.
☆211Updated 6 years ago
Alternatives and similar repositories for speedml
Users that are interested in speedml are comparing it to the libraries listed below
Sorting:
- Deploy AutoML as a service using Flask☆227Updated 8 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆171Updated 6 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 6 years ago
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 5 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 7 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Personal data science and machine learning toolbox☆366Updated 5 years ago
- ☆88Updated 7 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 9 years ago
- a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…☆129Updated 2 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆270Updated 5 years ago
- Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism…☆166Updated 5 years ago
- Flask API for training and predicting using scikit learn models☆301Updated 2 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆336Updated 4 years ago
- Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.☆524Updated 3 weeks ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆249Updated 7 years ago
- ☆161Updated 4 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated 2 years ago
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆561Updated 6 months ago
- scikit-learn wrappers for Python fastText.☆233Updated 3 years ago
- Parris, the automated infrastructure setup tool for machine learning algorithms.☆314Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆325Updated 5 years ago
- Tools for exploratory data analysis in Python☆648Updated 4 months ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 7 years ago
- Tutorial on deploying machine learning models to production☆59Updated 6 years ago
- A set of useful tools for competitive data science.☆553Updated 3 years ago
- Push and pull data files like code☆175Updated 2 years ago