Alternatives and similar repositories for lhc2015-dl-tutorial:

Users that are interested in lhc2015-dl-tutorial are comparing it to the libraries listed below

• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 7 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 9 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆60Updated 7 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆86Updated 5 years ago
• twiecki / ipython_nb_cluster
  Scripts to launch IPython parallel on a cluster and run an IPython Notebook to run the analysis.
  ☆27Updated 10 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated 10 months ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• yandexdataschool / mlhep2015
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Updated 9 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 7 years ago
• jakevdp / cython_template
  Package template for a project using Cython
  ☆58Updated 8 years ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• scikit-hep / histbook
  Versatile, high-performance histogram toolkit for Numpy.
  ☆109Updated 6 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆25Updated 4 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• posterior / goftests
  Generic goodness of fit tests for random plain old data
  ☆11Updated 11 months ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆46Updated 5 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆9Updated 10 years ago
• glouppe / tutorial-sklearn-lhcb
  Tutorial "An introduction to Machine Learning with Scikit-Learn", presented at CERN
  ☆12Updated 9 years ago
• betatim / carina-jupyterhub
  Jupyterhub backed by carina!
  ☆15Updated 9 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• mlgill / pdLSR
  Pandas-aware non-linear least squares regression using Lmfit
  ☆10Updated 8 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 8 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 7 years ago