polo5

Machine Learning Engineer at Wayve

@wayveai London

Pinned Repositories

HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Language:Python774 13 42137
FDS
Gradient-based Hyperparameter Optimization Over Long Horizons
Language:Python12 1 00
FewShotKnowledgeTransfer
KD+AT baselines for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Language:Python5 2 01
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper.
Language:Python0 2 01
LDEQ_RwR
Landmark Deep Equilibrium Model (LDEQ), applied to videos with a Recurrence without Recurrence (RwR) paradigm
Language:Python37 4 54
ZeroShotKnowledgeTransfer
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Language:Jupyter Notebook138 4 517

polo5/ZeroShotKnowledgeTransfer
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Language:Jupyter Notebook138 4 517
polo5/LDEQ_RwR
Landmark Deep Equilibrium Model (LDEQ), applied to videos with a Recurrence without Recurrence (RwR) paradigm
Language:Python37 4 54
polo5/FDS
Gradient-based Hyperparameter Optimization Over Long Horizons
Language:Python12 1 00
polo5/FewShotKnowledgeTransfer
KD+AT baselines for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Language:Python5 2 01
polo5/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper.
Language:Python0 2 01