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 247
EmilienDupont / neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
deep-learning neural-processes pytorch
Language:Jupyter Notebook 214
ogroth / tf-gqn
Tensorflow implementation of Neural Scene Representation and Rendering
view-synthesis gqn-datasets neural-processes paper-implementations
Language:Python 189
Neural-Process-Family
YannDubs / Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
neural-processes conditional-neural-process machine-learning deep-learning meta-learning stochastic-processes pytorch uncertainty-estimation
Language:Jupyter Notebook 187
geniki / neural-processes
PyTorch implementation of Neural Processes
pytorch neural-processes
Language:Python 86
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 85
wesselb / NeuralProcesses.jl
A framework for composing Neural Processes in Julia
julia machine-learning neural-processes
Language:Julia 75
wesselb / neuralprocesses
A framework for composing Neural Processes in Python
machine-learning meta-learning neural-processes
Language:Python 67
jenspetersen / gqn-pytorch
Implementation of GQN in PyTorch
gqn neural-processes generative-query-network deep-learning deeplearning trixi
Language:Python 64
soobinseo / Attentive-Neural-Process
A Pytorch Implementation of Attentive Neural Process
deep-learning anp pytorch attention neural-processes
Language:Jupyter Notebook 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 32
IIEdm / TaNP
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
recommender-system meta-learning neural-processes cold-start
Language:Python 31
MIC-DKFZ / image-time-series
Code for deep learning-based glioma/tumor growth models
glioma neural-processes tumor-growth attentive-neural-processes
Language:Python 20
d3sm0 / ntsa
Neural Time Series Analysis
attention deep-learning neural-network neural-processes regression sdtw seq2seq series-forecasting tensorflow timeseries
Language:Jupyter Notebook 14
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 12
ramsey-devs / ramsey
Probabilistic deep learning using JAX
jax bayesian-inference probabilistic-models python neural-processes flax numpyro
Language:Python 11
KKallidromitis / Contrastive-Neural-Processes
Implementation of Contrastive Neural Processes in PyTorch
contrastive-learning neural-processes self-supervised-learning
Language:Python 10
AdityaLab / EpiFNP
Official repo to paper
pytorch uncertainty-quantification epidemiology neural-processes functional-neural-processes
Language:Python 9
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
xuesongwang / Neural-Process-Family
neural-processes
Language:Python 8
3springs / np_vs_kriging
Quick experiment to see how neural processes do vs kriging, at gridding soil samples
neural-processes soil grid
Language:Jupyter Notebook 6
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 6
kristpapadopoulos / neural-processes
Keras, Tensorflow eager execution implementation of Neural Processes
neural-processes variational-inference neural-network tensorflow tensorflow-probability keras regression toronto krist-papadopoulos variational-autoencoder time-series
Language:Python 6
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
rodrigobdz / neural-processes
Implementation of DeepMind's Neural Processes paper
neural-processes gaussian-processes neural-network
Language:Jupyter Notebook 3
yuneg11 / Neural-Process-Family
Neural Process implementations in JAX and PyTorch
neural-processes pytorch jax
Language:Jupyter Notebook 3
acerbilab / relational-neural-processes
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
equivariance machine-learning meta-learning neural-processes
Language:Python 2
dbsxodud-11 / np_variants
Implementation of Neural Process(NP) and its Varaints
meta-learning neural-processes pytorch
Language:Python 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
ConditionalNeuralProcess
Javihaus / ConditionalNeuralProcess
Conditional Neural Process
neural-network neural-processes stochastic-processes attentive-neural-processes functional-neural-processes pytorch
Language:Jupyter Notebook 0
ZGurney / iib-project
Engineering masters research project on multi-output neural processes
machine-learning meta-learning neural-processes
Language:Python 0
DubiousCactus / metabatch
Batch-aware online task creation for meta-learning.
batching deep-learning maml meta-learning neural-processes training
Language:Python
kostyaev / dl_notebooks
Implementations of deep learning algorithms
cvae mnist neural-processes vae
Language:Jupyter Notebook
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

neural-processes

mikeroyal / Neuromorphic-Computing-Guide

EmilienDupont / neural-processes

ogroth / tf-gqn

YannDubs / Neural-Process-Family

geniki / neural-processes

wassname / attentive-neural-processes

wesselb / NeuralProcesses.jl

wesselb / neuralprocesses

jenspetersen / gqn-pytorch

soobinseo / Attentive-Neural-Process

RManLuo / NP-FKGC

IIEdm / TaNP

MIC-DKFZ / image-time-series

d3sm0 / ntsa

Jiacheng-Zhu-AIML / Neural-Processes

ramsey-devs / ramsey

KKallidromitis / Contrastive-Neural-Processes

AdityaLab / EpiFNP

MIC-DKFZ / gpconvcnp

xuesongwang / Neural-Process-Family

3springs / np_vs_kriging

GitGyun / multi_task_neural_processes

kristpapadopoulos / neural-processes

JEM-Mosig / blog-garnelo_neural_2018

rodrigobdz / neural-processes

yuneg11 / Neural-Process-Family

acerbilab / relational-neural-processes

dbsxodud-11 / np_variants

tonywu71 / neural-processes

Javihaus / ConditionalNeuralProcess

ZGurney / iib-project

DubiousCactus / metabatch

kostyaev / dl_notebooks

peiman-m / ACQNP