pymilo VS nni

Compare pymilo vs nni and see what are their differences.

pymilo

PyMilo: Python for ML I/O (by openscilab)
Deep Learning Machine Learning machine-learning-algorithms ML Mlops scikit-learn Deserialization Serialization ml-models-export ml-models-import
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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
Automl Deep Learning neural-architecture-search hyperparameter-optimization Distributed bayesian-optimization automated-machine-learning Machine Learning machine-learning-algorithms Data Science Tensorflow Pytorch neural-network deep-neural-network model-compression feature-engineering Nas Python hyperparameter-tuning Mlops
Source Code
nni.readthedocs.io
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pymilo nni
2 5
121 13,777
17.4% 0.7%
7.9 4.5
2 days ago 6 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

pymilo

Posts with mentions or reviews of pymilo. We have used some of these posts to build our list of alternatives and similar projects.

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

When comparing pymilo and nni you can also consider the following projects:

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

optuna - A hyperparameter optimization framework

superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

autogluon - Fast and Accurate ML in 3 Lines of Code

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

osdg-tool - OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

pymilo vs deeplake nni vs optuna pymilo vs superduperdb nni vs FLAML pymilo vs best-of-ml-python nni vs autogluon pymilo vs polyaxon nni vs AutoML pymilo vs Activeloop Hub nni vs hyperopt pymilo vs osdg-tool nni vs archai