Alternatives and similar repositories for Brancher:

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

• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated 10 months ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆109Updated 7 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆163Updated 5 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆32Updated 5 years ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆239Updated last year
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆886Updated 10 months ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 3 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆303Updated 7 months ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 5 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 7 months ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆115Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆184Updated last year
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 4 years ago
• juliuskunze / jaxnet
  Concise deep learning for JAX
  ☆184Updated 4 years ago
• harvardnlp / namedtensor
  Named Tensor implementation for Torch
  ☆444Updated 2 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆272Updated 8 months ago
• uber-research / EvoGrad
  ☆182Updated 7 months ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆203Updated 2 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆154Updated 5 years ago
• srush / parallax
  ☆153Updated 4 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆270Updated last year
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆264Updated 4 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 6 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 5 years ago
• QUVA-Lab / artemis
  Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…
  ☆238Updated last year