README.md

    meta-learning-lstm

    status: static

    This repo contains the code for the following paper: https://openreview.net/pdf?id=rJY0-Kcll

    Dependencies

    The following libaries are necessary:

    Training

    Splits corresponding to meta-training, meta-validation, and meta-testing are placed in data/miniImagenet/. Download corresponding imagenet images and place in folder called images and place folder in data/miniImagenet/.

    To train a model:

    th train/run-train.lua --task [1-shot or 5-shot task] --data config.imagenet --model [model name]

    For example, to run matching-nets:

    th train/run-train.lua --task config.5-shot-5-class --data config.imagenet --model config.baselines.train-matching-net

    And, to run LSTM meta-learner for 5-shot task:

    th train/run-train.lua --task config.5-shot-5-class --data config.imagenet --model config.lstm.train-imagenet-5shot

    Contact

    For questions about miniImagenet format, please contact Sachin Ravi at email given in the paper.

    项目简介

    🚀 Github 镜像仓库 🚀

    源项目地址

    https://github.com/twitter/meta-learning-lstm

    发行版本

    当前项目没有发行版本

    贡献者 4

    W Will Norris @Will Norris
    S Sachin Ravi @Sachin Ravi
    S Sachin Ravi @Sachin Ravi
    A Aleksandar Gargenta @Aleksandar Gargenta

    开发语言

    • Lua 90.8 %
    • Python 9.2 %