Engineering masters research project on multi-output neural processes
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Updated
Feb 28, 2022 - Python
Engineering masters research project on multi-output neural processes
Batch-aware online task creation for meta-learning.
Implementation of Neural Process(NP) and its Varaints
Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
Keras, Tensorflow eager execution implementation of Neural Processes
[ICLR'22] Multi-Task Neural Processes
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Official repo to paper
Implementation of Contrastive Neural Processes in PyTorch
Probabilistic deep learning using JAX
This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
Code for deep learning-based glioma/tumor growth models
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Implementation of GQN in PyTorch
A framework for composing Neural Processes in Python
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