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Automated Machine Learning with scikit-learn
Created
2015-07-02
2,759 commits to development branch, last one about a year ago
A PyTorch Library for Meta-learning Research
Created
2019-08-08
357 commits to master branch, last one about a year ago
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Created
2019-06-13
51 commits to master branch, last one 3 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
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Created
2018-11-02
75 commits to master branch, last one about a year ago
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
Created
2018-09-16
13 commits to master branch, last one 3 years ago
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Created
2018-04-18
24 commits to master branch, last one 6 years ago
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
Created
2019-05-27
99 commits to master branch, last one 4 years ago
Personalizing Dialogue Agents via Meta-Learning
Created
2019-05-22
25 commits to master branch, last one about a year ago
Python Meta-Feature Extractor package.
Created
2018-11-19
1,363 commits to master branch, last one 5 months ago
MetaTS | Time Series Forecasting using Meta Learning
Created
2021-11-08
96 commits to main branch, last one about a year ago
Taking causal inference to the extreme!
s-learner
t-learner
x-learner
r-learning
metalearner
metalearning
doubly-robust
g-computation
assumption-check
causal-inference
quasi-experimental
nonparametric-model
sensitivity-analysis
observational-studies
causal-machine-learning
double-machine-learning
interrupted-time-series
extreme-learning-machine
debiased-machine-learning
Created
2023-02-12
423 commits to main branch, last one 23 days ago