masked-image-modeling

Open-source projects categorized as masked-image-modeling

Top 5 masked-image-modeling Open-Source Projects

  • mmpretrain

    OpenMMLab Pre-training Toolbox and Benchmark

  • mmselfsup

    OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • SparK

    [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling" (by keyu-tian)

  • SimMIM

    This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

  • continual-pretraining-nlp-vision

    Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

masked-image-modeling related posts

  • [R] [ICLR'2023 Spotlight🌟]: The first BERT-style pretraining on CNNs!

    1 project | /r/MachineLearning | 22 Jan 2023
  • [R] A new work makes CNNs (e.g., ResNet) enjoy the BERT-style pretraining! (with a video demo)

    2 projects | /r/MachineLearning | 17 Jan 2023

Index

What are some of the best open-source masked-image-modeling projects? This list will help you:

Project Stars
1 mmpretrain 3,215
2 mmselfsup 3,108
3 SparK 1,389
4 SimMIM 860
5 continual-pretraining-nlp-vision 14

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com