Ecosyste.ms: Repos

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GitHub topics: neural-processes

jleechung/neural-processes

PyTorch implementation of latent neural processes.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 0 - Forks: 0

wesselb/neuralprocesses

A framework for composing Neural Processes in Python

Language: Python - Size: 7.93 MB - Last synced: 15 days ago - Pushed: 19 days ago - Stars: 68 - Forks: 11

kristpapadopoulos/neural-processes

Keras, Tensorflow eager execution implementation of Neural Processes

Language: Python - Size: 169 KB - Last synced: 22 days ago - Pushed: over 5 years ago - Stars: 6 - Forks: 1

wesselb/NeuralProcesses.jl

A framework for composing Neural Processes in Julia

Language: Julia - Size: 5.15 MB - Last synced: 16 days ago - Pushed: about 3 years ago - Stars: 75 - Forks: 5

ramsey-devs/ramsey

Probabilistic deep learning using JAX

Language: Python - Size: 2.32 MB - Last synced: 3 days ago - Pushed: 2 months ago - Stars: 11 - Forks: 2

wassname/attentive-neural-processes

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

Language: Jupyter Notebook - Size: 87 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 82 - Forks: 22

RManLuo/NP-FKGC

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

Language: Python - Size: 38.1 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 30 - Forks: 3

Jiacheng-Zhu-AIML/Neural-Processes

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

Language: Python - Size: 6.44 MB - Last synced: 2 months ago - Pushed: over 3 years ago - Stars: 12 - Forks: 4

EmilienDupont/neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

Language: Jupyter Notebook - Size: 16.2 MB - Last synced: 3 months ago - Pushed: about 2 years ago - Stars: 209 - Forks: 48

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.

Language: Python - Size: 926 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 191 - Forks: 33

acerbilab/relational-neural-processes

Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)

Language: Python - Size: 6.73 MB - Last synced: 3 months ago - Pushed: 6 months ago - Stars: 2 - Forks: 0

ogroth/tf-gqn

Tensorflow implementation of Neural Scene Representation and Rendering

Language: Python - Size: 7.22 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 189 - Forks: 36

YannDubs/Neural-Process-Family

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

Language: Jupyter Notebook - Size: 2.36 GB - Last synced: 6 months ago - Pushed: 10 months ago - Stars: 178 - Forks: 34

yuneg11/Neural-Process-Family

Neural Process implementations in JAX and PyTorch

Language: Jupyter Notebook - Size: 1.51 MB - Last synced: about 19 hours ago - Pushed: over 1 year ago - Stars: 3 - Forks: 2

MIC-DKFZ/gpconvcnp

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

Language: Python - Size: 36.1 MB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 8 - Forks: 5

Javihaus/ConditionalNeuralProcess

Conditional Neural Process

Language: Jupyter Notebook - Size: 4.16 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

jenspetersen/gqn-pytorch

Implementation of GQN in PyTorch

Language: Python - Size: 136 KB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 64 - Forks: 8

ZGurney/iib-project

Engineering masters research project on multi-output neural processes

Language: Python - Size: 4.43 MB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

tonywu71/conditional-neural-processes

Replication of the "Conditional Neural Processes" paper by Garnelo et al.

Language: Python - Size: 16.9 MB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

kostyaev/dl_notebooks

Implementations of deep learning algorithms

Language: Jupyter Notebook - Size: 43.9 KB - Last synced: 9 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

DubiousCactus/metabatch

Batch-aware online task creation for meta-learning.

Language: Python - Size: 21.5 KB - Last synced: about 1 month ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

d3sm0/ntsa

Neural Time Series Analysis

Language: Jupyter Notebook - Size: 8.24 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 14 - Forks: 4

IIEdm/TaNP

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

Language: Python - Size: 1.2 MB - Last synced: 11 months ago - Pushed: about 3 years ago - Stars: 29 - Forks: 5

peiman-m/ACQNP

Adaptive Conditional Quantile Neural Processes - PyTorch

Language: Jupyter Notebook - Size: 3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

GitGyun/multi_task_neural_processes

[ICLR'22] Multi-Task Neural Processes

Language: Python - Size: 39.1 MB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 6 - Forks: 2

dbsxodud-11/np_for_tsc

Official code for "An Offline Meta Black-box Optimization Framework for Large-scale Traffic Signal Control"

Language: Python - Size: 133 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

KKallidromitis/Contrastive-Neural-Processes

Implementation of Contrastive Neural Processes in PyTorch

Language: Python - Size: 850 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 0

AdityaLab/EpiFNP

Official repo to paper

Language: Python - Size: 931 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 7 - Forks: 5

JEM-Mosig/blog-garnelo_neural_2018

This is a reproduction of Garnelo et al., Neural Processes. arXiv:1807.01622 [cs, stat] (2018).

Language: Python - Size: 752 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 4 - Forks: 0

soobinseo/Attentive-Neural-Process

A Pytorch Implementation of Attentive Neural Process

Language: Jupyter Notebook - Size: 140 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 61 - Forks: 10

MIC-DKFZ/image-time-series

Code for deep learning-based glioma/tumor growth models

Language: Python - Size: 494 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 15 - Forks: 3

3springs/np_vs_kriging

Quick experiment to see how neural processes do vs kriging, at gridding soil samples

Language: Jupyter Notebook - Size: 2.08 MB - Last synced: 3 months ago - Pushed: about 4 years ago - Stars: 6 - Forks: 1

dbsxodud-11/np_variants

Implementation of Neural Process(NP) and its Varaints

Language: Python - Size: 3.57 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

rodrigobdz/neural-processes

Implementation of DeepMind's Neural Processes paper

Language: Jupyter Notebook - Size: 2.82 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

Related Keywords
neural-processes 34 pytorch 9 meta-learning 8 deep-learning 7 machine-learning 7 neural-network 5 stochastic-processes 4 tensorflow 4 attentive-neural-processes 4 attention 4 anp 3 gaussian-processes 2 functional-neural-processes 2 few-shot-learning 2 rnn 2 conditional-neural-process 2 python 2 jax 2 regression 2 time-series 2 batching 1 vae 1 mnist 1 cvae 1 trixi 1 gqn 1 generative-query-network 1 deeplearning 1 np 1 gpconvcnp 1 gp-convcnp 1 tumor-growth 1 convcnp 1 uncertainty-estimation 1 grid 1 soil 1 view-synthesis 1 paper-implementations 1 gqn-datasets 1 bayesian-optimization 1 multi-task-learning 1 offline-learning 1 contrastive-learning 1 incomplete-data 1 self-supervised-learning 1 epidemiology 1 quantile-regression 1 uncertainty-quantification 1 work-in-progress 1 bayesian-deep-learning 1 recommender-system 1 cold-start 1 timeseries 1 series-forecasting 1 seq2seq 1 sdtw 1 training 1 maml 1 glioma 1 1d-function-regression 1 sigir 1 knowledge-graph-completion 1 knowledge-graph 1 graph-neural-networks 1 gnn 1 uncertainty 1 prediction 1 anp-rnn 1 probabilistic-models 1 numpyro 1 flax 1 bayesian-inference 1 julia 1 variational-inference 1 variational-autoencoder 1 toronto 1 tensorflow-probability 1 krist-papadopoulos 1 keras 1 pytorch-implementation 1 equivariance 1 neuroscience 1 neuronal-network 1 neuron-models 1 neuromorphic-hardware 1 neuromorphic-engineering 1 neuromorphic-computing 1 neuromorphic 1 neuroimaging 1 neural-simulators 1 neural-rendering 1 neural-radiance-fields 1 neural-networks 1 neural-machine-translation 1 neural-engineering 1 neural-engine 1 neocortex 1 brain-imaging 1 artificial-neural-networks 1 sequential-data 1