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pyhgf: A neural network library for predictive coding

pyhgf: A neural network library for predictive coding

11 October 2024
Nicolas Legrand
Lilian A. E. Weber
Peter Thestrup Waade
Anna Hedvig Møller Daugaard
Mojtaba Khodadadi
Nace Mikuš
C. Mathys
    AI4CE
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Papers citing "pyhgf: A neural network library for predictive coding"

7 / 7 papers shown
Title
Towards Self-Assembling Artificial Neural Networks through Neural
  Developmental Programs
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
Elias Najarro
Shyam Sudhakaran
S. Risi
59
16
0
17 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
62
15
0
04 Jul 2023
Predictive Coding: a Theoretical and Experimental Review
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
42
128
0
27 Jul 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
354
42,299
0
03 Dec 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
191
4,326
0
06 Mar 2019
Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Aki Vehtari
Andrew Gelman
Jonah Gabry
94
4,036
0
16 Jul 2015
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,295
0
18 Nov 2011
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