conditional-neural-process
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Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
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Jun 12, 2024 - Jupyter Notebook
Implementation of the Convolutional Conditional Neural Process
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May 17, 2021 - Jupyter Notebook
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)
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Mar 25, 2023 - Python
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
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Nov 3, 2022 - Python
Adaptive Conditional Quantile Neural Processes - PyTorch
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Mar 19, 2024 - Jupyter Notebook
Implementation of a generic wrapping algorithm that can enable any meta-learning algorithm to perform well on unsegmented time-series data.
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Jul 8, 2021 - Jupyter Notebook
PyTorch models for AV1 artifact removal. Features a universal CRF-Preset conditional model (FiLM-based U-Net) and ultra-light Nano models (U-Net, ResNet, ...) for fast real-time video restoration (different model for each CRF bucket).
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Nov 6, 2025 - Python
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