Time-Series-Transformer
pycaret
| Time-Series-Transformer | pycaret | |
|---|---|---|
| 18 | 5 | |
| 191 | 8,428 | |
| - | 1.2% | |
| 0.0 | 9.4 | |
| over 3 years ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Time-Series-Transformer
pycaret
- pycaret: An open-source, low-code machine learning library in Python
- Predictive Maintenance and Anomaly Detection Resources
- Pycaret
-
How to look for help on data science?
Take a look at Pycaret python library. https://github.com/pycaret/pycaret
-
What is your DS stack? (and roast mine :) )
If you want to try pycaret exists, not sure how similar it is to caret, but it does all the steps in ML project. And Gluon for DL.
What are some alternatives?
tsfresh - Automatic extraction of relevant features from time series:
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
nixtlats - Deep Learning for Time Series Forecasting.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.