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Name: Beren

Type: User

Bio: Postdoctoral Researcher in Machine Learning and Computational Neuroscience at the University of Oxford. Unravelling intelligence in both brains and machines.

Twitter: BerenMillidge

Blog: https://beren.io

Beren's Projects

activationrelaxation

Code to reproduce experiments for "Activation Relaxation: A Local, Dynamical Approximation to Backprop in the Brain"

active_inference_successor_representations

repository for Successor Representations IWAI paper

activeinferenceswarmbehaviour

Simple models of swarming behaviour in active inference

amortisedpredictivecoding

Experiments with amortisation in predictive coding networks

anlp

Work for ANLP course at Edinburgh

assembler-exercises

Where I put my code for some of the exercises and stuff from Bartlett's Programming From the Ground Up, and Randy Hyde's Art of Assembly Language Programming

atarialgos.jl

Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment

autodiff.jl

A toy autodifferentiation framework written in Julia

berenmillidge.github.io

Personal Website

blog_deployment

deployment files for my personal blog

bombardier.js

Test your javascript functions by bombarding them with malformed inputs

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

cartpole.jl

Pure Julia implementations of the CartPole environments from OpenAI gym. Since the key functions are in pure julia, they can be automatically differentated through by Flux/Zygote.

central_pattern_generators.jl

Trying to train NNs to recreate periodic signals akin to CPGs in the nervous system. Perhaps first steps towards CPG inspired ANN control.

charging-a-saved-card

Learn how to charge a saved card and handle failures

clip

Contrastive Language-Image Pretraining

cnn_from_scratch

Code to build a CNN from scratch (including backprop). Follows this tutorial: https://victorzhou.com/blog/intro-to-cnns-part-1/

combining-active-inference-paper-code

Code for the paper: Combining Active Inference and Hierarchical Predictive Coding: A Tutorial Review and Case Study

complexitymodels.jl

Simple implementations of various models in the complexity and self-organised criticality literature.

computational_neuroscience_toolkit

Initially work from going through the Dayan and Abbot book. Trying to implement things.

continual_learning_papers

Relevant papers in Continual Learning

convolutionalvae

Getting a convolutional variational autoencoder to work with Flux on the GPU

darknet

Convolutional Neural Networks

data_synchronisation

Example code for synchronising pyControl behavioural data with pyPhotometry recordings.

datastructures-and-algorithms

Implementations of a variety of common data structures and algorithms to build knowledge of cs fundamentals.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deduplicate_bibtex

A simple script to remove duplicate entries from your .bib files

deepactiveinference

Code for the paper Deep Active Inference as Variational Policy Gradients.

densenet-sdr

repo that holds code for improving on dropout using Stochastic Delta Rule

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