maml-rl-tf2Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
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Mutual labels: maml, meta-learning
tensorflow-mamlTensorFlow 2.0 implementation of MAML.
Stars: ✭ 79 (+364.71%)
Mutual labels: maml, meta-learning
MeTALOfficial PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
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Mutual labels: maml, meta-learning
mliisCode for meta-learning initializations for image segmentation
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Mutual labels: maml, meta-learning
PAMLPersonalizing Dialogue Agents via Meta-Learning
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Mutual labels: maml, meta-learning
MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
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Mutual labels: maml, meta-learning
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (+52.94%)
Mutual labels: meta-learning
meta-SRPytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)
Stars: ✭ 58 (+241.18%)
Mutual labels: meta-learning
geotrellis-serverTools for building raster processing and display services
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Mutual labels: maml
StyleSpeechOfficial implementation of Meta-StyleSpeech and StyleSpeech
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Mutual labels: meta-learning
pymfePython Meta-Feature Extractor package.
Stars: ✭ 89 (+423.53%)
Mutual labels: meta-learning
MetaHeacThis is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
Stars: ✭ 36 (+111.76%)
Mutual labels: meta-learning
Nearest-Celebrity-FaceTensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
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Mutual labels: meta-learning
meta-interpolationSource code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
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Mutual labels: meta-learning
metagenrlMetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
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Mutual labels: meta-learning
LearningToCompare-TensorflowTensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.
Stars: ✭ 17 (+0%)
Mutual labels: meta-learning
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Mutual labels: meta-learning
HebbianMetaLearningMeta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
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Mutual labels: meta-learning
Red line - ground truth, Red dots - given observation, Blue line - predicted line after 1 sgd step
