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A Python package for differentiable probabilistic inference
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What is Brancher?

It is a user-centered Python package for differentiable probabilistic inference. It allows to design and train differentiable Bayesian models using stochastic variational inference. It is based on the deep learning framework PyTorch.
Brancher is a tool in the Data Science Tools category of a tech stack.
Brancher is an open source tool with 167 GitHub stars and 28 GitHub forks. Here’s a link to Brancher's open source repository on GitHub

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Brancher's Features

  • Flexible
  • Integrated

Brancher Alternatives & Comparisons

What are some alternatives to Brancher?
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Pentaho Data Integration
It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.
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Brancher's Stats

Brancher's Followers
3 developers follow Brancher to keep up with related blogs and decisions.
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