autogluon
shapley
Our great sponsors
| autogluon | shapley | |
|---|---|---|
| 8 | 7 | |
| 7,050 | 209 | |
| 2.7% | - | |
| 9.6 | 2.7 | |
| 5 days ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
autogluon
-
pip install remyxai - easiest way to create custom vision models
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
- autogluon: NEW Data - star count:5070.0
-
[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
-
What will the data science job market be like in 5 years?
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
shapley
-
AstraZeneca Researchers Explain the Concept and Applications of the Shapley Value in Machine Learning
Code for https://arxiv.org/abs/2202.05594 found: https://github.com/benedekrozemberczki/shapley
- Calculating and approximating the Shapley value in voting games
- Show HN: Pruning Machine Learning Models with the Shapley Value
- Show HN: Shapley: Explaining Machine Learning Ensembles
- Shapley - a Python library for solving weighted voting games.
- Show HN: Shapley – a Python library for scoring ML models in an ensemble
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
DALEX - moDel Agnostic Language for Exploration and eXplanation
autokeras - AutoML library for deep learning
sagemaker-explaining-credit-decisions - Amazon SageMaker Solution for explaining credit decisions.
auto-sklearn - Automated Machine Learning with scikit-learn
DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
csle - A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
AIX360 - Interpretability and explainability of data and machine learning models