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Igor Babuschkin

Login: ibab

Company: @google

Location: London, UK

Bio: null

Blog: http://babushk.in

Member of

Repositories

babushk.in: Source files for my blog. Based on Hakyll.
bachelor-thesis: My Bachelor thesis (in German).
beamertheme-manc: A minimal beamer theme designed with legibility in mind
beamertheme-vertex: A clean, basic beamer theme
beautybot: Developing a robot for LHCb
blink: null
carl: Likelihood-free inference toolbox.
ceres-mle: A maximum likelihood estimator using the ceres-solver minimizer
clrs-solutions: My solutions to "Introduction to Algorithms"
cpp11-talk: A C++11 introduction for scientists (slides and exercises)
cpp-template: Allows you to quickly start a new C++ project
cyres: Python bindings for ceres-solver (via Cython)
datapipe: A flexible data processing framework
demo-paper: null
dockerspawner: Spawns JupyterHub user servers in Docker containers
dotfiles: :wrench: My configuration files.
e5-lhcb: Some Python modules I've written that simplify working with the ROOT framework
everware: Everware allows users to launch Jupyter Notebooks in a docker container by specifying the URL of a git repository
everware-demo: Everware demo repository
everware-dimuon-example: https://github.com/everware/everware-dimuon-example/blob/master/jpsi.ipynb
first-analysis-steps: LHCb data analysis lessons
fully-reproducible: Example of a fully reproducible (data+code ? PDF) research paper
github-editor: Edit files in your github repo with $EDITOR
grid-submission: A minimal, concurrent, fast grid submission script for experts
halite-convnet: A bot for Halite using a convolutional neural network
handbook: null
haskell-maildir: null
haskell-optimize: Algorithms for unconstrained optimization in Haskell
haskell-quantum: A Monad for simulating quantum processes.
jupyterhub: Multi-user server for Jupyter notebooks
keras: Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
lambda: A simple interpreter for the untyped lambda calculus.
laminate: :package: An efficient packed data format for protocol buffer messages
leetcode-solutions: null
lfs-test: null
lhcb-analysis-essentials: null
lhcb-b2dmumu: Search for B?Dmumu and similar decays at LHCb
lhcb-merge-event: My CERN summer student project: A DaVinci package for merging data from several events into one.
lhcb_pid_resample: null
lhcb-software: An unofficial Github mirror of the LHCb software
lhcb-starterkit: null
luigi-cern: Luigi modules for working with the LHC grid
make-based-analysis: null
manual: null
matplotlib-hep: :zap: An addon to matplotlib for creating high energy physics plots
matplotlib-tikz-workflow: null
missing_hep: Python functions for High Energy Physics research missing from other packages
msg: :envelope: The little mail client that could
nteract: :notebook: It's an interactive notebook!
numpy: Numpy main repository
opendata-project: null
pandas-io: External IO utilities for pandas
persistence-benchmark: null
phd-example: Example repo for how to organize your PhD with Github
pizza: null
planets: Planet repository
planets2: null
protobuf: Protocol Buffers - Google's data interchange format
python-ceres: Pythonic bindings to the Ceres-Solver minimizer
python-hepview: Tools for displaying and analyzing HepMC files.
python-mle: A Python package for performing Maximum Likelihood Estimates
python-textable: A Python module for generating LaTeX tables from numpy arrays.
requests: Python HTTP Requests for Humans?.
root_numpy: An interface between ROOT and NumPy
rust-ad: Automatic differentiation library for rust
rust-gsl-integrate: Demo of how to bind to GSL integration functions from Rust
salt-cluster: Salt configuration for a scientific HPC cluster
scikit-optimize: Sequential model-based optimization with a `scipy.optimize` interface
second-analysis-steps: Level two LHCb data analysis lessons
sonnet: TensorFlow-based neural network library
studyGroup: null
sunpy: SunPy - Python for Solar Physics
swc: A library for making a simple Wayland compositor
taffybar: A slightly fancy status bar for xmonad
tensorflow: Computation using data flow graphs for scalable machine learning
tensorflow-wavenet: A TensorFlow implementation of DeepMind's WaveNet paper
tensorprob: A probabilistic graphical modeling framework based on TensorFlow
testbook: null
Theano: Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
toolbox-workshop: Materialien zum PeP et al. Toolbox-Workshop 2014.
top-quark-seminar: Summaries of papers related to top quark physics. (Assignments from my top quark seminar)
travis-lhcb: null
tree_rnn: Theano implementation of Tree RNNs aka Recursive Neural Networks.
tudo-dmc-2015: Our solution to the Data Mining Cup 2015 (http://www.data-mining-cup.de/)
tudoposter: A beamerposter template and theme for the TU Dortmund.
vim-snakemake: Snakemake syntax highlighting copied from the official repository. I didn't write this!
workbench: :nut_and_bolt: A minimal CLI tool for managing AWS EC2 instances
xarray: N-D labeled arrays and datasets in Python

Commits To

Repository	Most Recent Commit	# Commits

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.