358 Open source projects that are alternatives of or similar to deviation-network

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Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

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Keras implementation of temporal ensembling(semi-supervised learning)

Reproduce some methods in semi-supervised papers.

anomaly detection with anomalize and Google Trends data

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A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

A curated (most recent) list of resources for Learning with Noisy Labels

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Awesome Few-shot learning

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awesome few shot / meta learning papers

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Python codes for weakly-supervised learning

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[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

some anomaly detection models and experiments.

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A curated list of papers, code and resources pertaining to few-shot image generation.

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Automatically labeling training data