yhaddad

yhaddad's Stars

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k2k23514.9k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.5k1.6k417.9k

• sorin-ionescu/prezto

  The configuration framework for Zsh

  Language:Shell14k2141k4.5k

• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

  Language:Python8.7k2263.3k2k

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k225130782

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.3k1581.4k1.1k

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k14981.1k

• raghakot/keras-vis

  Neural network visualization toolkit for keras

  Language:Python3k71214660

• ben-strasser/fast-cpp-csv-parser

  fast-cpp-csv-parser

  Language:C++2.2k67110441

• GPflow/GPflow

  Gaussian processes in TensorFlow

  Language:Python1.8k76812434

• facebookresearch/TensorComprehensions

  A domain specific language to express machine learning workloads.

  Language:C++1.8k108176211

• maxpumperla/elephas

  Distributed Deep learning with Keras & Spark

  Language:Python1.6k102159310

• Cloud-CV/Fabrik

  :factory: Collaboratively build, visualize, and design neural nets in browser

  Language:Python1.1k55138235

• StellarCN/py-stellar-base

  Stellar client library for the Python language

  Language:Python34834240173

• iml-wg/HEP-ML-Resources

  Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

  Language:TeX3324816115

• scikit-hep/uproot3

  ROOT I/O in pure Python and NumPy.

  Language:Python3142433367

• matt-graham/mici

  Manifold Markov chain Monte Carlo methods in Python

  Language:Python22315527

• tensorprob/tensorprob

  :chart_with_upwards_trend: A probabilistic programming framework based on TensorFlow

  Language:Python87173819

• cms-analysis/HiggsAnalysis-CombinedLimit

  CMS Higgs Combination toolkit.

  Language:C++7529171389

• davidchall/homebrew-hep

  Homebrew tap for high energy physics

  Language:Ruby7498932

• hep-lbdl/adversarial-jets

  Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

  Language:Jupyter Notebook607318

• glouppe/recnn

  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

  Language:Jupyter Notebook458217

• YaleATLAS/CERNDeepLearningTutorial

  Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN

  Language:Jupyter Notebook456019

• glouppe/paper-learning-to-pivot

  Repository for the paper "Learning to Pivot with Adversarial Networks"

  Language:Jupyter Notebook349625

• glouppe/notebooks

  Random fiddling stored in notebooks

  Language:Jupyter Notebook22606

• pablodecm/kernelflow

  Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.

  Language:Python11311

• YaleATLAS/hh2yybbEventClassifier

  Event level classifier for the hh-->yybb analysis using multi-stream RNNs

  Language:Python7302

• Histimator/Histimator

  A solution for performing maximum likelihood estimation on models built from histogram templates.

  Language:Jupyter Notebook64133

• reasonablytall/dotfiles

  My (Arch) Linux dotfiles

  Language:Vim Script4110

• scarrazza/mc2hessian

  A Monte Carlo to Hessian transformation tool for PDFs.

  Language:Python3302