bamos/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Jupyter NotebookMIT
Stargazers
- Alfo5123Google
- AmrMKayidco:X
- BradSegalJohannesburg, South Africa
- c-lyuTechincal University of Munich
- DecadzAmazon - Central Machine Learning
- dionman
- eddiewngNational Taiwan Normal University
- emirceyaniUSC, Bilkent, Turkcell , ...
- fly51flyPRIS
- hammer-wangAmazon
- HayeonLeeMeta GenAI
- iantimmisMichigan
- Ifan24UNSW
- interactivetechNYC
- JackLangermanNew York
- jbrryIBM
- jiahaoweikevin
- liutianlin0121Basel
- mktalMeta AI
- Niranajn006
- owenzx
- qinwei-hfut
- rosikandStanford University
- rtqichenFAIR Labs, Meta AI
- rumusan
- sanglinweiTsinghua University
- sashaDoubov
- sevroTessier-Ashpool S.A.
- SunAriesCNBeijing, China
- talesaUniversity of Oxford
- wuyujackNorthwestern University
- XingYing-stackBeihang University.
- xxLifeLoverShandong University
- zhangfanfeynman
- zhengyu998Michigan State University
- ZymraelStanford University