bamboo
tsai
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bamboo | tsai | |
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1 | 4 | |
14 | 4,659 | |
- | 4.7% | |
0.0 | 7.9 | |
almost 2 years ago | 24 days ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
bamboo
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How is the Nusselt Number obtained for Regenerative cooling?
I worked with my university's rocketry society on making an open source application specifically for modelling regenerative cooling. It includes a paper explaining how we do everything, including calculating the Nusselt number (or specifically, the convective heat transfer coefficient). All the source code is here and the paper is here.
tsai
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Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
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What is the current state-of-art in sequence classification?
You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
What are some alternatives?
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
ethereum-economic-model - A modular dynamical-systems model of Ethereum's validator economics
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
open-space-toolkit - Collection of versatile software libraries for space engineering applications.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
nixtla - Python SDK for TimeGPT, a foundational time series model
mlforecast - Scalable machine 🤖 learning for time series forecasting.
gluonts - Probabilistic time series modeling in Python
dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.