[R] Deep Learning with a Small Training Batch (or Lack Thereof). Part 1

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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

    Discontinued SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

    Code for https://arxiv.org/abs/2006.10029 found: https://github.com/google-research/simclr

  • SaaSHub

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

    SaaSHub logo
  • torchlars

    A LARS implementation in PyTorch

    Code for https://arxiv.org/abs/1708.03888 found: https://github.com/kakaobrain/torchlars

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Positive and Negative Sampling Strategies for Representation Learning in Semantic Search

    2 projects | /r/LanguageTechnology | 25 Mar 2023
  • [D] Why is random cropping necessary in SimCLR?

    1 project | /r/MachineLearning | 30 Sep 2022
  • [D] Current trends in computer vision related to unsupervised learning

    2 projects | /r/MachineLearning | 6 Aug 2022
  • Self-Supervised Contrastive Learning model for video dataset?

    1 project | /r/learnmachinelearning | 16 Feb 2022
  • [P] Choosing a self-supervised learning framework that's easy to use

    4 projects | /r/MachineLearning | 18 Jan 2022

Did you konow that Jupyter Notebook is
the 13th most popular programming language
based on number of metions?