STSpencer

Samuel Timothy Spencer's repositories

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookMIT2 10

wavelearn_release

Minimal code and trained models to recreate the results in the paper 'Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array' by S. Spencer et al. (2021).

Language:PythonGPL-3.01 20

acstools

Tools for HST/ACS

Language:PythonBSD-3-Clause000

CHECLabPy

Python scripts for reduction and analysis of CHEC lab data

Language:Jupyter NotebookBSD-3-Clause010

CTADIRAC

CTA-customized version of the DIRAC middleware

Language:Python010

ctagraph

Language:Python020

ctapipe

CTA Low-level Data Processing Pipeline Prototype

Language:Python010

ctlearn

Deep Learning for IACT Event Reconstruction

Language:Jupyter NotebookBSD-3-Clause010

cycada_release

Code to accompany ICML 2018 paper

Language:PythonBSD-2-Clause010

dl1-data-handler

DL1 HDF5 format data writer + reader + processor

Language:PythonMIT010

Essentials-Level

Language:Python010

GAMERA

A C++/python library for source modeling in gamma astronomy

Language:C010

gemini

Gemini is a modern LaTex beamerposter theme 🖼

Language:TeXMIT010

Getout

Code to get events out of eventdisplay for machine learning, and then back in again

Language:Python010

getout_glamdring

Language:Python010

HEP-ASTRO-COSMO

HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!

GPL-3.0010

Introduction

The aims of SciCos

010

mann

Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

Language:PythonGPL-3.0010

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Language:PythonMIT010