tsdownsample
pycaret
Our great sponsors
| tsdownsample | pycaret | |
|---|---|---|
| 7 | 5 | |
| 127 | 8,406 | |
| 6.3% | 2.0% | |
| 6.0 | 9.4 | |
| 16 days ago | 3 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
tsdownsample
- downsampling 500M datapoints in < 0.05s
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[P] tsdownsample: extremely fast time series downsampling for visualization
P.S.: I recently discovered a bug in the implementation (when there are large gaps in the time series ) -> PR https://github.com/predict-idlab/tsdownsample/pull/20 should fix this
- tsdownsample: Timeseries downsampling with 200-300x better performance vs. NumPy
- tsdownsample: time-series downsampling with 200-300x performance to equivalent numpy routines
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tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
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?
ZenithTA - A high performance python technical analysis library written in Rust and the Numpy C API.
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.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
downsample - Collection of several downsampling methods for time series visualisation purposes.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
argminmax - Efficient argmin & argmax
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.