avalanche VS continuum

Compare avalanche vs continuum and see what are their differences.

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avalanche continuum
1 1
1,666 397
3.5% 2.3%
9.4 2.7
11 days ago 10 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of avalanche. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-09.

continuum

Posts with mentions or reviews of continuum. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-16.
  • Ask HN: What are some tools / libraries you built yourself?
    264 projects | news.ycombinator.com | 16 May 2021
    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.

What are some alternatives?

When comparing avalanche and continuum you can also consider the following projects:

evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

leapp - Leapp is the DevTool to access your cloud

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

gazpacho - 🥫 The simple, fast, and modern web scraping library

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

snipp.in - Fast, Light-weight, Notes, Snippet manager and code editor directly inside your browser

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/

Tabula - Extract tables from PDF files

rexmex - A general purpose recommender metrics library for fair evaluation.

tera - A template engine for Rust based on Jinja2/Django

trajectopy - Trajectopy - Trajectory Evaluation in Python

yadm - Yet Another Dotfiles Manager