Tim Pearce

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'

precipitation-prediction-convLSTM-keras. CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

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

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'

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

Audio2Midi. Convert raw audio to midi using FFT

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

Reconciling_Kaplan_Chinchilla_Scaling_Laws. TMLR paper 'Reconciling Kaplan and Chinchilla Scaling Laws'

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

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

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

TeaPearce.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

osaka_prml_reading. bishop solutions