NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
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Updated
Jul 23, 2024 - Python
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
"모두를 위한 메타러닝" 책에 대한 코드 저장소
Meta Learning implementations via PyTorch (without any other frameworks)
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
A PyTorch Library for Meta-learning Research
Batch-aware online task creation for meta-learning.
A dataset of datasets for learning to learn from few examples
Tools for building raster processing and display services
Official code of XB-MAML implemented in pytorch
Implementation of Meta Learning Methods via Torchmeta framework
Image classification with very few data sample (n=25 per class)
Meta-learning model agnostic (MAML) implementation for cross-accented ASR
Homoiconic C - a universal data format for computation
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
Human Sperm Abnormality Detection using MAML approach
Code snippets of Meta Reinforcement Learning algorithms
An implementation of Model Agnostic Meta Learning (MAML) for few shot supervised image classification.
Miniproject 10: Meta-Learning with Reptile in the Cognitive Robotics lecture at Universität Bielefeld
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