continuum
avalanche
| continuum | avalanche | |
|---|---|---|
| 1 | 1 | |
| 400 | 1,666 | |
| 2.3% | 1.3% | |
| 2.7 | 9.4 | |
| 10 months ago | 17 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
continuum
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Ask HN: What are some tools / libraries you built yourself?
I've built with a collegue Continuum: https://github.com/Continvvm/continuum
It's a library giving utilities to handle data in Continual Learning, a subfield of Machine/Deep-learning where data comes incrementally.
There are others actors in the field that came atfer us and do more ads about their slightly similar library, but we manage to produce something useful to many PhD students, so that's a win for me.
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)
What are some alternatives?
leapp - Leapp is the DevTool to access your cloud
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
gazpacho - 🥫 The simple, fast, and modern web scraping library
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
snipp.in - Fast, Light-weight, Notes, Snippet manager and code editor directly inside your browser
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Tabula - Extract tables from PDF files
pytorch-accelerated - A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
tera - A template engine for Rust based on Jinja2/Django
rexmex - A general purpose recommender metrics library for fair evaluation.
yadm - Yet Another Dotfiles Manager
trajectopy - Trajectopy - Trajectory Evaluation in Python