TeaPearce/Expressive_Priors_in_BNNs

Stars
11
Rank 1,694,829 (Top 34 %)
Language
Python
License
Apache License 2.0
Created over 5 years ago
Updated over 5 years ago

TeaPearce/Expressive_Priors_in_BNNs

TeaPearce

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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

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'

Jupyter Notebook

Bayesian_NN_Ensembles

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

Jupyter Notebook

Algorithmic_Melody_Generator

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

Censored_Quantile_Regression_NN

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

Jupyter Notebook

Audio2Midi

Convert raw audio to midi using FFT

RL_Cart_Pole_Speed_Run

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

Anchored_Ens_RL_Explore

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

Struct_Weight_Priors_CNNs

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