lightning-flash
Auto-PyTorch
| lightning-flash | Auto-PyTorch | |
|---|---|---|
| 2 | 4 | |
| 1,711 | 2,282 | |
| - | 1.0% | |
| 7.3 | 0.0 | |
| 7 months ago | 26 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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lightning-flash
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A guide to starting PyTorch
Not faster to learn at all. Keras is more like learning Lightning Flash: https://github.com/PyTorchLightning/lightning-flash
- Lightning Flash: A collection of tasks for solving problems with deep learning
Auto-PyTorch
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[Project] AMLTK: A framework for building your own AutoML (AutoSklearn authors)
We took some of the lessons learned while building AutoSklearn and AutoPytorch, the good, the bad and the ugly and made a library that to enable the next generation of open-source AutoML tools, to allow them to be research-able but also efficient and scalable. We have some future plans and on-going work with this and we'd like to gather any feedback the community might have!
- What are sota hyperparameter optimization methods?
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A question for any AI programmers
Well it seems so, yes. Take a look here.
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What free AutoML library do you recommend?
For more information, you can checkout the github page AutoPytorch. Disclaimer: its under development and there can be potentially many undiscovered bugs which we will be happy to resolve as quick as possible. I recommend using the development branch which is a complete overhaul of the library from scratch.
What are some alternatives?
quaterion - Blazing fast framework for fine-tuning similarity learning models
auto-sklearn - Automated Machine Learning with scikit-learn
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
carefree-learn - Deep Learning ❤️ PyTorch
torchmd - End-To-End Molecular Dynamics (MD) Engine using PyTorch
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
autogluon - Fast and Accurate ML in 3 Lines of Code
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Awesome-ComputerVision - Awesome-ComputerVision