ds2 VS nni

Compare ds2 vs nni and see what are their differences.

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ds2 nni
5 5
48 13,777
- 0.7%
0.0 4.5
2 months ago 7 days ago
Python Python
Apache License 2.0 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.

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 ds2 and nni you can also consider the following projects:

carefree-learn - Deep Learning ❤️ PyTorch

optuna - A hyperparameter optimization framework

autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

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

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.

autogluon - Fast and Accurate ML in 3 Lines of Code

autoembedder - PyTorch autoencoder with additional embeddings layer for categorical data 🚘

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

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

cerche - Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe).

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