nni VS torchextractor

Compare nni vs torchextractor and see what are their differences.

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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torchextractor

Feature extraction made simple with torchextractor (by antoinebrl)
Python3 Pytorch Machine Learning feature-extraction
Source Code
torchextractor.readthedocs.io
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nni torchextractor
5 1
13,708 99
0.8% -
6.7 4.2
about 1 month ago about 3 years ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

torchextractor

Posts with mentions or reviews of torchextractor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-11.
  • [P] Pytorch: Intermediate Feature Extraction
    2 projects | /r/MachineLearning | 11 Mar 2021
    Recently I worked on torchextrator, a standalone python package that makes it simple to extract features in PyTorch. You no longer need to duplicate code and rewrite the forward function. Also the extractor supports nested modules, custom caching operations and is ONNX compatible!

What are some alternatives?

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

optuna - A hyperparameter optimization framework

stringlifier - Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

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

muzero-general - MuZero

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code

merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

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

carbon - :black_heart: Create and share beautiful images of your source code

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

Unredactor - In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder.

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

mapextrackt - Pytorch Feature Map Extractor

nni vs optuna torchextractor vs stringlifier nni vs FLAML torchextractor vs muzero-general nni vs autogluon torchextractor vs merged_depth nni vs AutoML torchextractor vs carbon nni vs hyperopt torchextractor vs Unredactor nni vs archai torchextractor vs mapextrackt