Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
-
Updated
Sep 19, 2021 - Jupyter Notebook
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
"모두를 위한 메타러닝" 책에 대한 코드 저장소
Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
Numerical implementation of the uniform-shear model by Mann (1994)
The parameters of the Uniform Shear Model are estimated in the least-square sense
Shiny app for calculating & plotting data for UCL's and MK Trends
MANN stack | Mongo, Angular, NestJS, Node - Fullstack app for Delfosti
Numerical implementation of the uniform shear model including stability by Chougule et al. (2018)
social discovery app for discordians, especially for people looking for a gaming buddy
Will be implementing and detailing emerging Neural network models such as GNN, Meta-Learning and Memory Augmented models that are still being actively researched and developed to overcome the traditional limitations of Deep learning
Add a description, image, and links to the mann topic page so that developers can more easily learn about it.
To associate your repository with the mann topic, visit your repo's landing page and select "manage topics."