auto-sklearn
pymarl2
| auto-sklearn | pymarl2 | |
|---|---|---|
| 3 | 1 | |
| 7,403 | 556 | |
| 0.8% | - | |
| 1.8 | 5.0 | |
| 4 months ago | 4 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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auto-sklearn
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Why not AutoML every tabular data?
Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.
- [R] Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
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What free AutoML library do you recommend?
If you want a more stable AutoML library, i’ll suggest auto-sklearn which optimises performance of sklearn learning algorithms.
pymarl2
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MARL top conference papers are ridiculous
https://github.com/hijkzzz/pymarl2 (RIIT)
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
nlp-recipes - Natural Language Processing Best Practices & Examples
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
syne-tune - Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
fast-reid - SOTA Re-identification Methods and Toolbox
OCTIS - OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Emergent-Multiagent-Strategies - Emergence of complex strategies through multiagent competition