Tim Pearce (@TeaPearce)
github

TeaPearce

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Python
491
star
2

Counter-Strike_Behavioural_Cloning

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'
Python
280
star
3

precipitation-prediction-convLSTM-keras

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'
Python
181
star
4

Deep_Learning_Prediction_Intervals

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
Jupyter Notebook
86
star
5

Bayesian_NN_Ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
Jupyter Notebook
82
star
6

Expressive_Priors_in_BNNs

UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'
Python
11
star
7

Algorithmic_Melody_Generator

M.Eng Thesis 'AI system to compose music - Genetic Algorithm and Markov Chain'
MATLAB
9
star
8

Censored_Quantile_Regression_NN

NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
Jupyter Notebook
9
star
9

Audio2Midi

Convert raw audio to midi using FFT
MATLAB
6
star
10

RL_Cart_Pole_Speed_Run

Solve Cart Pole (Reinforcement Learning) as fast as possible - using ensembles of DQNs
Python
4
star
11

Anchored_Ens_RL_Explore

ICML workshop paper 'Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning'
Python
4
star
12

Struct_Weight_Priors_CNNs

ICML workshop paper 'Structured Weight Priors for Convolutional Neural Networks'
Python
3
star