GilesStrong
Doctor of physics | Researcher at Braid Technologies. Previously: Deep-learning approaches for high-energy particle physics at CERN's CMS experiment.
Shibuya, Tokyo, Japan
GilesStrong's Stars
BurntSushi/ripgrep
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
taichi-dev/taichi
Productive, portable, and performant GPU programming in Python.
jaakkopasanen/AutoEq
Automatic headphone equalization from frequency responses
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
google-deepmind/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
taichi-dev/difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
CannyLab/tsne-cuda
GPU Accelerated t-SNE for CUDA with Python bindings
google-deepmind/penzai
A JAX research toolkit for building, editing, and visualizing neural networks.
patrick-kidger/torchtyping
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
kynan/nbstripout
strip output from Jupyter and IPython notebooks
beartype/plum
Multiple dispatch in Python
patrick-kidger/optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
facebookincubator/flowtorch
This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
scikit-hep/hist
Histogramming for analysis powered by boost-histogram
thoglu/jammy_flows
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
glouppe/dats0001-foundations-of-data-science
Materials for DATS0001 Foundations of Data Science, ULiège
adjidieng/REM
Reweighted Expectation Maximization
gradhep/relaxed
Provides differentiable versions of common HEP operations and objectives.
magis-slac/gradoptics
matthewfeickert/pyhep-notebook-talk-example
Example repository structure for a PyHEP style "notebook talk"
cms-opendata-analyses/PhysObjectExtractorTool
This repository has working code examples (snippets) on how to access different physics objects in the context of CMSSW software.
cms-pepr/pytorch_cmspepr
pytorch bindings for optimized knn and aggregation kernels
llayer/cmsopen
Repository for the analysis of CMS open data
phinate/thesis-overleaf
For committee!
pone-software/hyperion
Light-weight photon propagation implemented in jax.
borja-sg/mode_diffprog_22_challenge_borja_solution
Solution for the data challenge proposed at the Second MODE Workshop on Differentiable Programming for Experiment Design
FlorianBury/mode_diffprog_22_challenge
llayer/cmu_challenge
Muon regression challenge
PMunkes/mode_diffprog_22_challenge_Philipp_solution