Alternatives and similar repositories for recnn

Users that are interested in recnn are comparing it to the libraries listed below

• 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
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆110Updated last year
• glouppe / paper-learning-to-pivot
  Repository for the paper "Learning to Pivot with Adversarial Networks"
  ☆35Updated 6 years ago
• hep-lbdl / adversarial-jets
  Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…
  ☆61Updated 7 years ago
• deepjets / deepjets
  Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607
  ☆24Updated 5 years ago
• yandexdataschool / mlhep2016
  Machine Learning in High Energy Physics 2016
  ☆76Updated 5 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 7 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆69Updated 3 weeks ago
• arogozhnikov / hep_ml
  Machine Learning for High Energy Physics.
  ☆188Updated 2 weeks ago
• uci-igb / higgs-susy
  Python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.
  ☆62Updated 9 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆86Updated 6 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 6 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• ValentinHirschi / MG5aMC_PythonMEs
  Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format
  ☆11Updated 4 months ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• yandexdataschool / mlhep2015
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Updated 9 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆85Updated last year
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆40Updated 10 years ago
• BB-UCL / autograd-forward
  Autograd extension for forward mode autodiff
  ☆30Updated 7 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• yandexdataschool / mlhep2017
  MLHEP 2017 slides & seminars
  ☆26Updated 7 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 5 years ago