tsai
dspytai
tsai | dspytai | |
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4 | 3 | |
4,703 | 7 | |
2.5% | - | |
7.4 | 2.7 | |
12 days ago | 12 days ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
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
dspytai
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DspytAI Real-Time Portfolio Tracking & Price Prediction Tool
Welcome to DspytAI, the Uniswap powered Dapp that uses on-chain data and machine learning to predict potential price fluctuations in real-time. With our browser-based frontend, you can determine price averages for any ERC20 contract and access simple, free to use downloadable price prediction data in both text based csv format and image based png and svg formats. Unlock the future of Uniswap trading with DspytAI and track your Uniswap portfolio with confidence.
- LSTM ethereum price prediction
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Dspyt AI : Uniswap Portfolio Tracker
GitHub mono repository
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Data-science - Collection of useful data science topics along with articles, videos, and code
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
pycaret - An open-source, low-code machine learning library in Python
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)
Heroku_Graph_ML
nixtla - Python SDK for TimeGPT, a foundational time series model
fnn - Embed strange attractors using a regularizer for autoencoders