
apricot
by jmschrei (personal account)
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html (description from the project’s GitHub page)
Repository facts
- Stars
- 537
- Forks
- 53
- Open issues and pull requests
- 17
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- jmschrei · Personal account
- Created
- Aug 12, 2018
- Last push
- Nov 17, 2025
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 815: EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
10,055 starsJupyter NotebookLGPL-3.0Last push Sep 11, 2025
Rank 1,083: h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM wi…
7,511 starsJupyter NotebookApache-2.0Last push Oct 18, 2026
Rank 1,192: rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
6,774 starsJupyter NotebookNo license file detectedLast push Jun 21, 2023
Rank 1,596: Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
5,054 starsJupyter NotebookMITLast push Sep 22, 2023
Rank 1,645: jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
4,900 starsJupyter NotebookMITLast push Nov 20, 2024
Rank 1,824: microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
4,409 starsJupyter NotebookMITLast push Oct 18, 2026