neural-processes
There are 41 repositories under neural-processes topic.
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
EmilienDupont/neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
YannDubs/Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
ogroth/tf-gqn
Tensorflow implementation of Neural Scene Representation and Rendering
wassname/attentive-neural-processes
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
geniki/neural-processes
PyTorch implementation of Neural Processes
wesselb/neuralprocesses
A framework for composing Neural Processes in Python
wesselb/NeuralProcesses.jl
A framework for composing Neural Processes in Julia
soobinseo/Attentive-Neural-Process
A Pytorch Implementation of Attentive Neural Process
jenspetersen/gqn-pytorch
Implementation of GQN in PyTorch
RManLuo/NP-FKGC
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
IIEdm/TaNP
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
MIC-DKFZ/image-time-series
Code for deep learning-based glioma/tumor growth models
acerbilab/amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
Jiacheng-Zhu-AIML/Neural-Processes
This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
dirmeier/ramsey
Probabilistic deep learning using JAX
d3sm0/ntsa
Neural Time Series Analysis
AdityaLab/EpiFNP
Official repo to paper
KKallidromitis/Contrastive-Neural-Processes
Implementation of Contrastive Neural Processes in PyTorch
GitGyun/multi_task_neural_processes
[ICLR'22] Multi-Task Neural Processes
MIC-DKFZ/gpconvcnp
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
kristpapadopoulos/neural-processes
Keras, Tensorflow eager execution implementation of Neural Processes
3springs/np_vs_kriging
Quick experiment to see how neural processes do vs kriging, at gridding soil samples
yuneg11/Neural-Process-Family
Neural Process implementations in JAX and PyTorch
JEM-Mosig/blog-garnelo_neural_2018
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
wesselb/phd-thesis-convcnps
LaTeX source for my PhD thesis Convolutional Conditional Neural Processes
csiro-funml/renyineuralprocesses
Official implementation of Renyi Neural Processes (ICML 2025)
rodrigobdz/neural-processes
Implementation of DeepMind's Neural Processes paper
acerbilab/relational-neural-processes
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
kasia-kobalczyk/informed-meta-learning
Code to reproduce the results presented in the Informed Meta-Learning paper
dbsxodud-11/np_variants
Implementation of Neural Process(NP) and its Varaints
kimbente/NeuralProcesses
Implementation of Neural Processes to understand this model family
peiman-m/ACQNP
Adaptive Conditional Quantile Neural Processes - PyTorch
tonywu71/neural-processes
Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
kimbente/mass_balance_ConvNP
Model spatio-temporal surface mass balance (smb) over Antarctica with Convolutional Neural Process (ConvNP) using deepsensor