deepsvg
tsai
| deepsvg | tsai | |
|---|---|---|
| 2 | 4 | |
| 885 | 4,730 | |
| - | 3.0% | |
| 4.0 | 7.4 | |
| 14 days ago | 18 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | 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.
deepsvg
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[D] MNIST-like dataset in SVG format
I'd like to start experimenting with image classification in SVG format. I've found the deepsvg library that seems to have a solid basis on how to handle SVG files. Unfortunately it doesn't seem there's a large body of resesarch in the area and I am struggling to find a MNIST-like datset in SVG format.
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if Midjourney could "write" I would pay 100 dollar subscription. I mean look at these logos, and they aren't even the best one so far, just what I tried out yesterday. When the words would be what you wanted it would have such a big value.
Cursory google search: https://github.com/alexandre01/deepsvg
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?
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
darts - A python library for user-friendly forecasting and anomaly detection on time series.
vtracer - Raster to Vector Graphics Converter
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
lovely-tensors - Tensors, ready for human consumption
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
diffae - Official implementation of Diffusion Autoencoders
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
fastai - The fastai deep learning library
nixtla - Python SDK for TimeGPT, a foundational time series model