andreofner

andreofner's Stars

• Sohl-Dickstein/Diffusion-Probabilistic-Models

  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

  Language:Python4559268

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python332153013

• lucidrains/simple-hierarchical-transformer

  Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT

  Language:Python20510411

• BerenMillidge/FEP_Active_Inference_Papers

  A repository for major/influential FEP and active inference papers.

  Language:TeX17923123

• YuhangSong/Prospective-Configuration

  This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."

  Language:Python1056122

• slinderman/recurrent-slds

  Recurrent Switching Linear Dynamical Systems

  Language:Python10010923

• BerenMillidge/Predictive_Coding_Papers

  A repository collating interesting and/or influential predictive coding papers

  Language:TeX59707

• Bogacz-Group/PredictiveCoding

  Language:Jupyter Notebook174

• BerenMillidge/NeuralKalmanFiltering

  Code for the simulations in the neural Kalman filtering paper

  Language:Jupyter Notebook16203

• lowrollr/mctx-az

  Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree

  Language:Python14110

• ChampiB/Challenges_Deep_Active_Inference

  Language:Python10400

• mbaltieri/GeneralisedFiltering

  General framework for Bayesian inversion of continuous hierarchical models

  Language:Python10301

• gaspardol/MonteCarloPredictiveCoding

  Language:Python6101

• johmedr/dempy

  Specifying and inverting stochastic Dynamic Causal Models in Python.

  Language:Python5100

• AbdoSharaf98/active-sensing-paper

  Language:Python4100

• rballester/gmtorch

  Graphical Modeling in PyTorch

  Language:Python3300

• VBayesLab/Inversion-free-VB

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