Time-Series-Library
autogluon
| Time-Series-Library | autogluon | |
|---|---|---|
| 3 | 8 | |
| 4,492 | 7,181 | |
| 11.8% | 2.4% | |
| 8.7 | 9.6 | |
| 3 days ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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Time-Series-Library
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[D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
Don't use an LSTM. Get up to date with SoTA methods and read the papers in the field. LSTMs are not the way forward. Read the papers I suggested. It would be very useful to come to grips with both the Time Series Repository (https://github.com/thuml/Time-Series-Library) and Darts (https://github.com/unit8co/darts) as these are widely used for research and in industry.
- GitHub - thuml/Time-Series-Library: A Library for Advanced Deep Time Series Models.
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Inverted Transformers Are Effective for Time Series Forecasting
Cool! I find it has been implemented in the tslib (https://github.com/thuml/Time-Series-Library), the results seem promising when I reproduce the experiments.
autogluon
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pip install remyxai - easiest way to create custom vision models
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
- autogluon: NEW Data - star count:5070.0
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[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
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What will the data science job market be like in 5 years?
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
What are some alternatives?
mlops-v2 - Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
autokeras - AutoML library for deep learning
nsfw_data_scraper - Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
auto-sklearn - Automated Machine Learning with scikit-learn
darts - A python library for user-friendly forecasting and anomaly detection on time series.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
vosk-build-model - How to create your own model for vosk
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf