dnn.cool VS nni

Compare dnn.cool vs nni and see what are their differences.

dnn.cool

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations. (by hristo-vrigazov)
Pytorch Deep Learning deep-neural-network deep-neural-networks multitask-learning Catalyst Multitasking task-precondition task-composition
Source Code
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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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dnn.cool nni
1 5
46 13,777
- 0.7%
4.2 4.5
over 2 years ago 4 days ago
Python Python
MIT License MIT License
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dnn.cool

Posts with mentions or reviews of dnn.cool. We have used some of these posts to build our list of alternatives and similar projects.
  • Multitask Regression
    1 project | /r/pytorch | 8 Jul 2022
    Self-promotion, but I made a framework exactly for this use case :) https://github.com/hristo-vrigazov/dnn.cool

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 dnn.cool and nni you can also consider the following projects:

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

optuna - A hyperparameter optimization framework

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

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

autogluon - Fast and Accurate ML in 3 Lines of Code

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

tsflex - Flexible time series feature extraction & processing

LightAutoML - LAMA - automatic model creation framework

remote-jobs - A list of semi to fully remote-friendly companies (jobs) in tech.

dnn.cool vs flow-forecast nni vs optuna dnn.cool vs Super-SloMo nni vs FLAML nni vs autogluon nni vs AutoML nni vs hyperopt nni vs archai nni vs automlbenchmark nni vs tsflex nni vs LightAutoML nni vs remote-jobs