lsgos

3rd_year_interpreter_project

the code for my 3rd year undergrad C++ project

commaai-driving

dataset and code for 2016 paper "Learning a Driving Simulator"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gz

ignite

High-level library to help with training neural networks in PyTorch

JACS-ML-Tutorial

Scripts, code, and resources supporting a JBCA machine learning tutorial.

MPhysPulsars

Code repository for my masters project on pulsar identification

RWOP

My slides and jupyter notebook for the random walk on physics talk on neural networks

uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

vis-fzf-extras

fzf utilities with the vis editor

lsgos/uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

lsgos/vis-fzf-extras

fzf utilities with the vis editor

lsgos/commaai-driving

dataset and code for 2016 paper "Learning a Driving Simulator"

lsgos/gz

lsgos/MPhysPulsars

Code repository for my masters project on pulsar identification

lsgos/RWOP

My slides and jupyter notebook for the random walk on physics talk on neural networks

lsgos/3rd_year_interpreter_project

the code for my 3rd year undergrad C++ project

lsgos/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

lsgos/ignite

High-level library to help with training neural networks in PyTorch

lsgos/JACS-ML-Tutorial

Scripts, code, and resources supporting a JBCA machine learning tutorial.

lsgos/NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

lsgos/nvimcfg

neovim config

lsgos/PulsarFeatureLab

A framework useful for extracting machine learning features from pulsar candidate files (.PHCX and .PFD).

lsgos/pyro

Deep universal probabilistic programming with Python and PyTorch

lsgos/swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"