course22
tsai
course22 | tsai | |
---|---|---|
2 | 4 | |
2,136 | 4,703 | |
2.6% | 2.5% | |
2.1 | 7.4 | |
about 1 month ago | 11 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.
course22
-
Trying to get into machine learning and create a code that would recognise when my cat is detected on a camera, how should I approach this?
Use this lesson from fast.ai, delete the code cell that downloads 'bird' and 'forest' images from a search engine, and manually upload about 100 pictures of your own cat.
- Fast.ai's Practical Deep Learning for Coders Has Been Updated
tsai
-
Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
-
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
-
[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
What are some alternatives?
fastbook - The fastai book, published as Jupyter Notebooks
darts - A python library for user-friendly forecasting and anomaly detection on time series.
fastai - The fastai deep learning library
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
nbdev - Create delightful software with Jupyter Notebooks
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.