modAL
DIgging
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modAL | DIgging | |
---|---|---|
4 | 1 | |
2,140 | 81 | |
1.5% | - | |
1.9 | 10.0 | |
2 months ago | over 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
modAL
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modAL VS encord-active - a user suggested alternative
2 projects | 12 Apr 2023
- What are frameworks/tools used for Human-In-The-Loop (active) learning ?
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Launch HN: Lightly (YC S21): Label only the data which improves your ML model
How does it differentiate from modAL?
https://github.com/modAL-python/modAL
- Active Learning Using Detectron2
DIgging
What are some alternatives?
active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
tiny_gp - Tiny Genetic Programming in Python
GPflowOpt - Bayesian Optimization using GPflow
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
auto-sklearn - Automated Machine Learning with scikit-learn
lightly - A python library for self-supervised learning on images.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
baybe - Bayesian Optimization and Design of Experiments
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.