Lime-For-Time VS scikit-learn-intelex

Compare Lime-For-Time vs scikit-learn-intelex and see what are their differences.

Lime-For-Time

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification (by emanuel-metzenthin)
lime Big Data Machine Learning Python Timeseries explainable-artificial-intelligence
Source Code
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scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application (by intel)
Oneapi scikit-learn machine-learning-algorithms Data Analysis Machine Learning Python swrepo ai-machine-learning Big Data Analytics ai-training ai-inference GPU Intel
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intel.github.io
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Lime-For-Time scikit-learn-intelex
1 3
92 1,161
- 1.1%
0.0 9.5
3 months ago 4 days ago
Python Python
- Apache License 2.0
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Lime-For-Time

Posts with mentions or reviews of Lime-For-Time. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-24.
  • Understanding LSTM predictions
    2 projects | /r/learnmachinelearning | 24 Apr 2021
    I haven't personally tried it, but here's a Github Repo called LIME for Time. I'm not sure about the state of attention visualization for timeseries but this repo has several models using attention.

scikit-learn-intelex

Posts with mentions or reviews of scikit-learn-intelex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-25.

What are some alternatives?

When comparing Lime-For-Time and scikit-learn-intelex you can also consider the following projects:

pytorch-forecasting - Time series forecasting with PyTorch

cuml - cuML - RAPIDS Machine Learning Library

DALEX - moDel Agnostic Language for Exploration and eXplanation

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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

xgb_vs_lightgbm - comparison of prediction times

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

AlgorithmsAndDataStructure - Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you

neural_prophet - NeuralProphet: A simple forecasting package

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

scikit-learn - scikit-learn: machine learning in Python

oneDAL - oneAPI Data Analytics Library (oneDAL)

Lime-For-Time vs pytorch-forecasting scikit-learn-intelex vs cuml Lime-For-Time vs DALEX scikit-learn-intelex vs m2cgen Lime-For-Time vs flow-forecast scikit-learn-intelex vs xgb_vs_lightgbm Lime-For-Time vs spaCy scikit-learn-intelex vs AlgorithmsAndDataStructure Lime-For-Time vs neural_prophet scikit-learn-intelex vs eland scikit-learn-intelex vs scikit-learn scikit-learn-intelex vs oneDAL