CVPR22-Fact VS continuum

Compare CVPR22-Fact vs continuum and see what are their differences.

CVPR22-Fact

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR'22) in PyTorch. (by zhoudw-zdw)
catastrophic-forgetting class-incremental-learning continual-learning few-shot-class-incremental-learning lifelong-learning
Source Code
arxiv.org
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continuum

A clean and simple data loading library for Continual Learning (by Continvvm)
continual-learning lifelong-learning incremental-learning online-learning Pytorch Dataloader Dataset
Source Code
continuum.readthedocs.io
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CVPR22-Fact continuum
1 1
108 403
- 0.7%
4.7 2.7
7 months ago 12 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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CVPR22-Fact

Posts with mentions or reviews of CVPR22-Fact. We have used some of these posts to build our list of alternatives and similar projects.
  • ONN implementations of movement recognition
    1 project | /r/computervision | 24 May 2022
    You can consult https://paperswithcode.com/task/continual-learning for some good resources on continual learning for computer vision. Also, if the samples for the task is limited you can consult, papers under FSCIL like FACT https://github.com/zhoudw-zdw/CVPR22-Fact and CEC . I apologize to say that these resources are computer vision specific.

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 CVPR22-Fact and continuum you can also consider the following projects:

leapp - Leapp is the DevTool to access your cloud

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

avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

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

Tabula - Extract tables from PDF files

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

yadm - Yet Another Dotfiles Manager

sqldb-logger - A logger for Go SQL database driver without modifying existing *sql.DB stdlib usage.

vaku - vaku extends the vault api & cli

rupy - HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed

Pion WebRTC - Pure Go implementation of the WebRTC API

gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org

continuum vs leapp continuum vs gazpacho continuum vs avalanche continuum vs snipp.in continuum vs Tabula continuum vs tera continuum vs yadm continuum vs sqldb-logger continuum vs vaku continuum vs rupy continuum vs Pion WebRTC continuum vs gutenberg
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