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
Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi
The script for selenium in python. Make automated testing easier! 使用json脚本驱动selenium
A universal solution for web crawling lists. 抓取网页列表的通用解决方案
Advanced Vulnerability Scanner Tool
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
美团™爬虫练习项目(Region、POI、店铺、商品)
MAML and Reptile sine wave regression example in PyTorch
Crawl the same/asynchronous rendering of web pages for localized resource storage
Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021
We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).
Crawling Images on Pixabay by category
Add a description, image, and links to the reptile topic page so that developers can more easily learn about it.
To associate your repository with the reptile topic, visit your repo's landing page and select "manage topics."