TeaPearce

Imitating-Human-Behaviour-w-Diffusion

Code for ICLR 2023 paper "Imitating Human Behaviour with Diffusion Models"

Algorithmic_Melody_Generator

M.Eng Thesis 'AI system to compose music - Genetic Algorithm and Markov Chain'

Bayesian_NN_Ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

Censored_Quantile_Regression_NN

NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'

Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Counter-Strike_Behavioural_Cloning

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

Deep_Learning_Prediction_Intervals

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

Expressive_Priors_in_BNNs

UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'

precipitation-prediction-convLSTM-keras

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

Reconciling_Kaplan_Chinchilla_Scaling_Laws

ArXiv paper 'Reconciling Kaplan and Chinchilla Scaling Laws'

TeaPearce/Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

TeaPearce/Counter-Strike_Behavioural_Cloning

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

TeaPearce/precipitation-prediction-convLSTM-keras

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

TeaPearce/Deep_Learning_Prediction_Intervals

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

TeaPearce/Bayesian_NN_Ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

TeaPearce/Censored_Quantile_Regression_NN

NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'

TeaPearce/Expressive_Priors_in_BNNs

UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'

TeaPearce/Algorithmic_Melody_Generator

M.Eng Thesis 'AI system to compose music - Genetic Algorithm and Markov Chain'

TeaPearce/Audio2Midi

Convert raw audio to midi using FFT

TeaPearce/Anchored_Ens_RL_Explore

ICML workshop paper 'Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning'

TeaPearce/RL_Cart_Pole_Speed_Run

Solve Cart Pole (Reinforcement Learning) as fast as possible - using ensembles of DQNs

TeaPearce/Struct_Weight_Priors_CNNs

ICML workshop paper 'Structured Weight Priors for Convolutional Neural Networks'

TeaPearce/Reconciling_Kaplan_Chinchilla_Scaling_Laws

ArXiv paper 'Reconciling Kaplan and Chinchilla Scaling Laws'

TeaPearce/osaka_prml_reading

bishop solutions

TeaPearce/TeaPearce.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

TeaPearce/Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

TeaPearce/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

TeaPearce/html_demos

TeaPearce/Random_Walks_in_Massive_Graphs

Estimating properties of massive, partially observable graphs with random walks