scikit-learn-intelex
Lime-For-Time
| scikit-learn-intelex | Lime-For-Time | |
|---|---|---|
| 3 | 1 | |
| 1,161 | 92 | |
| 1.1% | - | |
| 9.5 | 0.0 | |
| 3 days ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scikit-learn-intelex
- Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
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Improving xgb prediction times on a single core
I can recommend https://github.com/intel/scikit-learn-intelex. We have been using this and it works great. The prediction time is greatly reduced and it has been running very stable. It's super easy to install and convert the trained XGB models to this Intel format.
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Intel Extension for Scikit-Learn
Looks like they are responding to https://github.com/intel/scikit-learn-intelex#-acceleration
I completely agree. I hope some Intel competitor funds a scikit-learn developer to read this code and extract all the portable performance improvements.
Lime-For-Time
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Understanding LSTM predictions
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.
What are some alternatives?
cuml - cuML - RAPIDS Machine Learning Library
pytorch-forecasting - Time series forecasting with PyTorch
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
DALEX - moDel Agnostic Language for Exploration and eXplanation
xgb_vs_lightgbm - comparison of prediction times
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
AlgorithmsAndDataStructure - Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
neural_prophet - NeuralProphet: A simple forecasting package
scikit-learn - scikit-learn: machine learning in Python
oneDAL - oneAPI Data Analytics Library (oneDAL)