NestedSampling
datascience
| NestedSampling | datascience | |
|---|---|---|
| - | 4 | |
| - | 4,071 | |
| - | - | |
| - | 8.3 | |
| - | 20 days ago | |
| GNU General Public License v2.0 only | Creative Commons Zero v1.0 Universal |
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NestedSampling
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Tracking mentions began in Dec 2020.
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
monad-bayes - A library for probabilistic programming in Haskell.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
building_an_open_ai_network - MIT Press
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
inliterate - DiffusionKinetics open-source monorepo
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
markov-realization - Haskell implementation of Markov chains.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
Data-science-best-resources - Carefully curated resource links for data science in one place
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.