Samuel Timothy Spencer (STSpencer)

STSpencer

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Company:University of Oxford

Location:Oxford

Home Page:https://www2.physics.ox.ac.uk/contacts/people/spencers

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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 ;)

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pschitt

pschitt! is a software to image an object in the sky by an array of ground Telescopes.

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CHECLabPy

Python scripts for reduction and analysis of CHEC lab data

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CTADIRAC

CTA-customized version of the DIRAC middleware

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ctapipe

CTA Low-level Data Processing Pipeline Prototype

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ctlearn

Deep Learning for IACT Event Reconstruction

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cycada_release

Code to accompany ICML 2018 paper

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dl1-data-handler

DL1 HDF5 format data writer + reader + processor

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GAMERA

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

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gemini

Gemini is a modern LaTex beamerposter theme 🖼

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Getout

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

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HEP-ASTRO-COSMO

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

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Introduction

The aims of SciCos

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mann

Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

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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.

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Monty

Monty the Penguin

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oxford-poster

LaTeX beamer poster template themed for the University of Oxford

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OxThesis

LaTeX template for an Oxford University thesis

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PyASB

Absolute photometry and Sky Brightness with all-sky images.

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snakeviz

An in-browser Python profile viewer

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sstcam-sandbox

Personal sandbox package for investigations into the SST Camera and CTA

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tino_cta

brainstorming repo for ctapipe

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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).

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ZERN

Python package for fast evaluation of Zernike polynomials

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