joseph-crowley Goto Github PK
Type: User
joseph-crowley's Projects
accelerator-diagnostics-project
diagnostics for real-time monitoring and control of particle accelerator experimental operations, plotting and analysis tools
aliceo2
O2 software project for the ALICE experiment at CERN
alidock
ALICE environment in a container 🐳
aliphysics
ALICE Analysis Repository
analysis-toolkit
A flexible and performant workflow for CMS data analysis. C++ loopers, Python scripts for analysis & plotting, bash program for compiling & rerunning. Modular & well-documented code for ease of maintenance.
assistant-swarm
Early experiment to create fully autonomous agent swarms
bshr
brainstorm-search-hypothesize-refine loop using bing web search + gpt-4
cernrequests
Wrapper around the requests package to ease CERN usage
chatbot-ui
An open source ChatGPT UI.
chess
Harness the power of Conditional Variational Autoencoders and the Koopman Operator to build a chess engine that intelligently approximates moves leading to checkmate.
classical-mechanics-ps1
Goldstein's classical mechanics PHYS 205
classical-mechanics-ps2
Goldstein Classical Mechanics chapter 2
classical-mechanics-ps3
cms-root-macros
cmssw
CMS Offline Software
coffea
crossbox
crossBox will print a box with a cross through it for "nicely" dividing integers.
cscvalidation
cscvalidationrunning
Repository to setup the latest version of CSCValidation to be run automatically on CAF
decision-making
implement a POMDP solver for decision making using markov methods
dynamic-mode-decomposition
Uncover the hidden dynamics in complex data with Dynamic Mode Decomposition, a powerful tool for insightful time-series analysis and predictive modeling.
effect-network-eos
Smart contracts and documentation for Effect Network
eth_contracts
flashcards
hermitian-operators
Theorem Proving
image-grid-vision
read data from grids of images of equal size using gpt-4-vision.
ising-model
Ising Model Simulator: Explore Phase Transitions and Renormalization with Monte Carlo Methods.
joseph-crowley.github.io
Personal Website for hosting at UCSB HEP
learned-koopman
Explore using cVAEs to learn Koopman Operators for predicting nonlinear harmonic oscillator dynamics.
machine-learning-monte-carlo
generate samples from learned distributions
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