Keras, Tensorflow eager execution implementation of Neural Processes
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Updated
Oct 12, 2018 - Python
Keras, Tensorflow eager execution implementation of Neural Processes
Implementations of deep learning algorithms
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
Implementation of GQN in PyTorch
A Pytorch Implementation of Attentive Neural Process
Quick experiment to see how neural processes do vs kriging, at gridding soil samples
This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
A framework for composing Neural Processes in Julia
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Conditional Neural Process
Code for deep learning-based glioma/tumor growth models
Implementation of DeepMind's Neural Processes paper
Pytorch implementation of Neural Processes for functions and images 🎆
Engineering masters research project on multi-output neural processes
Implementation of Neural Process(NP) and its Varaints
Neural Process implementations in JAX and PyTorch
Neural Time Series Analysis
Implementation of Contrastive Neural Processes in PyTorch
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