neural-processes

There are 2 repositories under neural-processes topic.

Neuromorphic-Computing-Guide
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.
neuromorphic-computing neuromorphic-hardware neuromorphic-engineering neuromorphic neural-networks neural-engine neural-engineering neural-network neuronal-network neural-machine-translation neuron-models neural-processes neural-simulators neuroscience neural-rendering neocortex artificial-neural-networks brain-imaging neuroimaging neural-radiance-fields
Language:Python 525
EmilienDupont / neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
deep-learning neural-processes pytorch
Language:Jupyter Notebook 233
Neural-Process-Family
YannDubs / Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
conditional-neural-process deep-learning machine-learning meta-learning neural-processes pytorch stochastic-processes uncertainty-estimation
Language:Jupyter Notebook 226
ogroth / tf-gqn
Tensorflow implementation of Neural Scene Representation and Rendering
gqn-datasets neural-processes paper-implementations view-synthesis
Language:Python 208
wassname / attentive-neural-processes
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
anp anp-rnn attention attentive-neural-processes neural-processes prediction pytorch rnn uncertainty
Language:Jupyter Notebook 99
geniki / neural-processes
PyTorch implementation of Neural Processes
neural-processes pytorch
Language:Python 89
wesselb / neuralprocesses
A framework for composing Neural Processes in Python
machine-learning meta-learning neural-processes
Language:Python 85
wesselb / NeuralProcesses.jl
A framework for composing Neural Processes in Julia
julia machine-learning neural-processes
Language:Julia 76
soobinseo / Attentive-Neural-Process
A Pytorch Implementation of Attentive Neural Process
anp attention deep-learning neural-processes pytorch
Language:Jupyter Notebook 75
jenspetersen / gqn-pytorch
Implementation of GQN in PyTorch
deep-learning deeplearning generative-query-network gqn neural-processes trixi
Language:Python 64
RManLuo / NP-FKGC
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
few-shot-learning gnn graph-neural-networks knowledge-graph knowledge-graph-completion neural-processes sigir
Language:Python 42
IIEdm / TaNP
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
recommender-system meta-learning neural-processes cold-start
Language:Python 33
MIC-DKFZ / image-time-series
Code for deep learning-based glioma/tumor growth models
glioma neural-processes tumor-growth attentive-neural-processes
Language:Python 27
acerbilab / amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
neural-processes bayesian-optimization meta-learning probabilistic-machine-learning simulation-based-inference
Language:Jupyter Notebook 21
Jiacheng-Zhu-AIML / Neural-Processes
This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.
neural-processes pytorch 1d-function-regression pytorch-implementations rnn attention sequential-data
Language:Python 19
dirmeier / ramsey
Probabilistic deep learning using JAX
jax bayesian-inference probabilistic-models python neural-processes flax numpyro
Language:Python 15
d3sm0 / ntsa
Neural Time Series Analysis
attention deep-learning neural-network neural-processes regression sdtw seq2seq series-forecasting tensorflow timeseries
Language:Jupyter Notebook 14
AdityaLab / EpiFNP
Official repo to paper
pytorch uncertainty-quantification epidemiology neural-processes functional-neural-processes
Language:Python 13
KKallidromitis / Contrastive-Neural-Processes
Implementation of Contrastive Neural Processes in PyTorch
contrastive-learning neural-processes self-supervised-learning
Language:Python 11
xuesongwang / Neural-Process-Family
meta-learning neural-processes probabilistic-deep
Language:Python 11
GitGyun / multi_task_neural_processes
[ICLR'22] Multi-Task Neural Processes
deep-learning neural-processes few-shot-learning multi-task-learning incomplete-data
Language:Python 8
MIC-DKFZ / gpconvcnp
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
gp-convcnp gpconvcnp convcnp neural-processes attentive-neural-processes np anp time-series stochastic-processes gaussian-processes
Language:Python 8
kristpapadopoulos / neural-processes
Keras, Tensorflow eager execution implementation of Neural Processes
keras krist-papadopoulos neural-network neural-processes regression tensorflow tensorflow-probability time-series toronto variational-autoencoder variational-inference
Language:Python 7
3springs / np_vs_kriging
Quick experiment to see how neural processes do vs kriging, at gridding soil samples
grid neural-processes soil
Language:Jupyter Notebook 6
yuneg11 / Neural-Process-Family
Neural Process implementations in JAX and PyTorch
neural-processes pytorch jax
Language:Jupyter Notebook 6
csiro-funml / renyineuralprocesses
Official implementation of Renyi Neural Processes (ICML 2025)
deep-probabilistic-models meta-learning neural-processes statistical-machine-learning
Language:Python 4
JEM-Mosig / blog-garnelo_neural_2018
This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).
python neural-processes work-in-progress tensorflow
Language:Python 4
wesselb / phd-thesis-convcnps
LaTeX source for my PhD thesis Convolutional Conditional Neural Processes
neural-processes phd-thesis
Language:TeX 4
rodrigobdz / neural-processes
Implementation of DeepMind's Neural Processes paper
neural-processes gaussian-processes neural-network
Language:Jupyter Notebook 3
acerbilab / relational-neural-processes
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
equivariance neural-processes machine-learning meta-learning
Language:Python 2
kasia-kobalczyk / informed-meta-learning
Code to reproduce the results presented in the Informed Meta-Learning paper
informed-machine-learning meta-learning neural-processes supervised-learning
Language:Jupyter Notebook 2
dbsxodud-11 / np_variants
Implementation of Neural Process(NP) and its Varaints
meta-learning neural-processes pytorch
Language:Python 1
kimbente / NeuralProcesses
Implementation of Neural Processes to understand this model family
neural-processes pytorch
Language:Jupyter Notebook 1
peiman-m / ACQNP
Adaptive Conditional Quantile Neural Processes - PyTorch
bayesian-deep-learning conditional-neural-process machine-learning neural-processes quantile-regression stochastic-processes
Language:Jupyter Notebook 1
tonywu71 / neural-processes
Replication of the "Conditional Neural Processes" (2018) and "Neural Processes" (2018) papers by Garnelo et al.
machine-learning neural-processes tensorflow bayesian gaussian-processes conditional-neural-processes
Language:Python 1
kimbente / mass_balance_ConvNP
Model spatio-temporal surface mass balance (smb) over Antarctica with Convolutional Neural Process (ConvNP) using deepsensor
antarctica neural-processes spatio-temporal
Language:Jupyter Notebook 0

neural-processes

mikeroyal / Neuromorphic-Computing-Guide

EmilienDupont / neural-processes

YannDubs / Neural-Process-Family

ogroth / tf-gqn

wassname / attentive-neural-processes

geniki / neural-processes

wesselb / neuralprocesses

wesselb / NeuralProcesses.jl

soobinseo / Attentive-Neural-Process

jenspetersen / gqn-pytorch

RManLuo / NP-FKGC

IIEdm / TaNP

MIC-DKFZ / image-time-series

acerbilab / amortized-conditioning-engine

Jiacheng-Zhu-AIML / Neural-Processes

dirmeier / ramsey

d3sm0 / ntsa

AdityaLab / EpiFNP

KKallidromitis / Contrastive-Neural-Processes

xuesongwang / Neural-Process-Family

GitGyun / multi_task_neural_processes

MIC-DKFZ / gpconvcnp

kristpapadopoulos / neural-processes

3springs / np_vs_kriging

yuneg11 / Neural-Process-Family

csiro-funml / renyineuralprocesses

JEM-Mosig / blog-garnelo_neural_2018

wesselb / phd-thesis-convcnps

rodrigobdz / neural-processes

acerbilab / relational-neural-processes

kasia-kobalczyk / informed-meta-learning

dbsxodud-11 / np_variants

kimbente / NeuralProcesses

peiman-m / ACQNP

tonywu71 / neural-processes

kimbente / mass_balance_ConvNP