easyopt VS nni

Compare easyopt vs nni and see what are their differences.

easyopt

zero-code hyperparameters optimization framework (by galatolofederico)
hyperparameter-optimization hyperparameter-tuning Machine Learning optuna
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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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easyopt nni
2 5
10 13,765
- 0.5%
5.0 6.7
3 months ago about 2 months ago
Python Python
GNU General Public License v3.0 only MIT License
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easyopt

Posts with mentions or reviews of easyopt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.

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 easyopt and nni you can also consider the following projects:

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

optuna - A hyperparameter optimization framework

evalml - EvalML is an AutoML library written in python.

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

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

autogluon - Fast and Accurate ML in 3 Lines of Code

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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

automlbenchmark - OpenML AutoML Benchmarking Framework

easyopt vs tuneta nni vs optuna easyopt vs evalml nni vs FLAML easyopt vs AgileRL nni vs autogluon easyopt vs wandb nni vs AutoML easyopt vs optuna nni vs hyperopt nni vs archai nni vs automlbenchmark