avalanche
pytorch-accelerated
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| avalanche | pytorch-accelerated | |
|---|---|---|
| 1 | 1 | |
| 1,660 | 157 | |
| 3.2% | - | |
| 9.5 | 4.6 | |
| 10 days ago | 3 months ago | |
| Python | Python | |
| 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.
avalanche
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[R] Single-task Continual/Incremental/Online/Life-Long learning.
Lastly, there are several github repo, but the most popular one is ContinualAI/avalanche, which already implement some of above algorithm, for the purpose of reproducibility i.e. can be applied to your task (probably)
pytorch-accelerated
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I highly and genuinely recommend Fast.ai course to beginners
I would love to know your thoughts on PyTorch Lightning vs. other, even more lightweight libraries, if you have the time. PL strikes me as being less idiosyncratic than FastAI, but I'm still not sure whether it would be better in engineering work to go even more lightweight (when I'm not just writing the code myself) -- something that offers up just optimizations and a trainer, a la MosaicML's [Composer](https://github.com/mosaicml/composer) or Chris Hughes's [pytorch-accelerated](https://github.com/Chris-hughes10/pytorch-accelerated) .
What are some alternatives?
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
composer - Supercharge Your Model Training
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
rexmex - A general purpose recommender metrics library for fair evaluation.
nos - Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
trajectopy - Trajectopy - Trajectory Evaluation in Python
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
continuum - A clean and simple data loading library for Continual Learning
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning