Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
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Updated
Sep 19, 2021 - Jupyter Notebook
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Collection for Few-shot Learning
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
Deepest Season 6 Meta-Learning study papers plus alpha
A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.
One Shot Learning with Siamese Neural Networks + Triplet Siamese Neural Networks on Dark Web Images
An Application with interacts with the database using NLP and Langchain
Papers on meta-learning
A Signature Validation and Mandate Verification System by using Siamese Networks and One-Shot Learning.
Using one shot learning to classify paintings
Autocorrelation Sequence Prediction Model Based On Reference Function Transformation: Taking Epidemic Prediction As An Example
In this repository I list some course projects I did during my undergraduate at the School of Data Science, Fudan University.
Learn Chinese vocabulary with an adaptive system that tracks progress, personalizes practice, and helps CFL learners build words faster
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