Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Pytorch implementation of Neural Processes for functions and images 🎆

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Tensorflow implementation of Neural Scene Representation and Rendering

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

PyTorch implementation of Neural Processes

A framework for composing Neural Processes in Python

A framework for composing Neural Processes in Julia

A Pytorch Implementation of Attentive Neural Process

Implementation of GQN in PyTorch

Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation

Code for deep learning-based glioma/tumor growth models

This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.

Neural Time Series Analysis

Probabilistic deep learning using JAX

Official repo to paper

Implementation of Contrastive Neural Processes in PyTorch

Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"