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Brancher vs Data Miner: What are the differences?
Developers describe Brancher as "A Python package for differentiable probabilistic inference". 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. On the other hand, Data Miner is detailed as "Extract Data From any Website in Seconds". It is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.
Brancher and Data Miner can be categorized as "Data Science" tools.
Brancher is an open source tool with 169 GitHub stars and 28 GitHub forks. Here's a link to Brancher's open source repository on GitHub.