shirleyzhu233/PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
Python
Stargazers
- amadeuzou
- andrew-miaoUniversity of Waterloo
- Arindam-1991Edge Hill University, Ormskirk
- ArnoutDevosEPFL.ch
- cedriclmenard
- CSer-Tang-haoThe Hong Kong Polytechnic University
- DanqingZUniversity of California Berkeley
- dishank-b@facebookresearch
- EugKarUkraine
- EunjuYangSamsung Research
- fly51flyPRIS
- fmu2NVIDIA
- geyuyingTencent ARC Lab
- guojixu
- gusalsdmlwlqCom2usPlatform
- hafsa390
- HaojieYuanUSTC
- IandRoverCornell University
- jinmang2Republic of Korea
- KANG-Xudong
- lliillInria
- lukasuz
- mahdighaneiGeorgia Tech
- nargeshnUniversity of Pittsburgh
- nd1511European Space Agency (ESA)
- nicholaslyCUHKSZ
- Pongpisit-ThanasutivesOsaka University
- SaltychtaoNanjing
- tackgeunSeoul, South Korea
- tanghl1994
- WuYichen-97
- yatindandiComputer Science and Engineering, IIT Kanpur
- ycchen1989New York
- yzhang2016Tencent
- yzhuoning@Netflix
- Zhanyu-WangPurdue University