baikal vs GitHub Pages
Overview
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Detailed Comparison
Public webpages hosted directly from your GitHub repository. Just edit, push, and your changes are live. | It is a graph-based, functional API for building complex machine learning pipelines of objects that implement the scikit-learn API. It is mostly inspired on the excellent Keras API for Deep Learning, and borrows a few concepts from the TensorFlow framework and the (perhaps lesser known) graphkit package. It aims to provide an API that allows to build complex, non-linear machine learning pipelines. |
Blogging with Jekyll; Custom URLs; Automatic Page Generator | Build non-linear pipelines effortlessly;
Handle multiple inputs and outputs;
Add steps that operate on targets as part of the pipeline;
Nest pipelines;
Use prediction probabilities (or any other kind of output) as inputs to other steps in the pipeline;
Query intermediate outputs, easing debugging;
Freeze steps that do not require fitting;
Define and add custom steps easily;
Plot pipelines |
Statistics | |
GitHub Stars - | GitHub Stars 590 |
GitHub Forks - | GitHub Forks 30 |
Stacks 17.7K | Stacks 4 |
Followers 13.0K | Followers 11 |
Votes 1.1K | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to GitHub Pages, baikal?
DomainRacer
It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.
Netlify
Netlify is smart enough to process your site and make sure all assets gets optimized and served with perfect caching-headers from a cookie-less domain. We make sure your HTML is served straight from our CDN edge nodes without any round-trip to our backend servers and are the only ones to give you instant cache invalidation when you push a new deploy. Netlify is also the only static hosting service with integrated continuous deployment.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Vercel
A cloud platform for serverless deployment. It enables developers to host websites and web services that deploy instantly, scale automatically, and require no supervision, all with minimal configuration.
Surge
Surge makes it easy for developers to deploy projects to a production-quality CDN through Grunt, Gulp, npm.
Webflow
Webflow is a responsive design tool that lets you design, build, and publish websites in an intuitive interface. Clean code included!
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Divshot
Divshot makes building and hosting front-end web applications simple. Build locally and deploy using a simple command-line interface. Divshot supports multiple environments, pushState routing, atomic deploys, and more.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
