NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Wei...
Python module to interface with OpenML
Collection of Reinforcement Learning / Meta Reinforcement Learning Envir...
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Opt...
Code for the paper "Evolved Policy Gradients"
A resource list for causality in statistics, data science and physics
A list of recent papers about Meta / few-shot learning methods applied i...
Official implementation of Meta-StyleSpeech and StyleSpeech
Implementation of Proximal Meta-Policy Search (ProMP) as well as related...
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Official pytorch implementation of the paper "Bayesian Meta-Learning for...
Code for the Neural Processes website and replication of 4 papers on NPs...
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that fai...
The code for paper "CANet: Class-Agnostic Segmentation Networks with Ite...
Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Me...