TensorLayerX VS nni

Compare TensorLayerX vs nni and see what are their differences.

TensorLayerX

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS. (by tensorlayer)
tensorlayerx tensorlayer Tensorflow Paddlepaddle mindspore Pytorch jittor oneflow Deep Learning Machine Learning neural-network Python
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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
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nni.readthedocs.io
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TensorLayerX nni
3 5
527 13,797
0.4% 0.8%
4.5 4.5
about 1 month ago 12 days ago
Python Python
GNU General Public License v3.0 or later MIT License
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TensorLayerX

Posts with mentions or reviews of TensorLayerX. 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 TensorLayerX and nni you can also consider the following projects:

one-yolov5 - A more efficient yolov5 with oneflow backend 🎉🎉🎉

optuna - A hyperparameter optimization framework

Res2Net-PretrainedModels - (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

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

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

autogluon - Fast and Accurate ML in 3 Lines of Code

ivy - The Unified AI Framework

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

StylizedNeRF - [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning

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

TensorLayerX vs one-yolov5 nni vs optuna TensorLayerX vs Res2Net-PretrainedModels nni vs FLAML TensorLayerX vs Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials nni vs autogluon TensorLayerX vs ivy nni vs AutoML TensorLayerX vs StylizedNeRF nni vs hyperopt nni vs archai nni vs automlbenchmark