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A PyTorch Library for Meta-learning Research
Created
2019-08-08
357 commits to master branch, last one about a year ago
Repository for few-shot learning machine learning projects
Created
2018-10-30
48 commits to master branch, last one 5 years ago
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Created
2018-12-09
23 commits to master branch, last one 4 years ago
A dataset of datasets for learning to learn from few examples
Created
2019-03-05
319 commits to main branch, last one 6 months ago
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
Created
2019-10-30
66 commits to master branch, last one 2 years ago
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
Created
2020-07-01
19 commits to master branch, last one 2 months ago
Personalizing Dialogue Agents via Meta-Learning
Created
2019-05-22
25 commits to master branch, last one about a year ago
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
Created
2020-06-14
22 commits to master branch, last one 3 years ago
Meta learning with BERT as a learner
Created
2020-01-15
21 commits to master branch, last one about a year ago
"모두를 위한 메타러닝" 책에 대한 코드 저장소
Created
2020-02-19
57 commits to main branch, last one 7 months ago
Tools for building raster processing and display services
Created
2017-11-22
582 commits to main branch, last one 6 months ago
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
Created
2020-10-23
6 commits to master branch, last one 2 years ago
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Created
2020-09-08
43 commits to master branch, last one 3 years ago
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
Created
2021-08-14
8 commits to master branch, last one 2 years ago
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Created
2022-12-19
671 commits to master branch, last one about a month ago
This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc...
Created
2022-08-30
8 commits to master branch, last one 2 years ago
Meta-learning model agnostic (MAML) implementation for cross-accented ASR
Created
2020-04-25
177 commits to master branch, last one 9 months ago
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
Created
2021-06-03
17 commits to main branch, last one 4 months ago
Code snippets of Meta Reinforcement Learning algorithms
Created
2022-07-09
25 commits to main branch, last one about a year ago