baikal vs Stack Overflow
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming. | 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. |
Ask questions, get answers, no distractions;Get answers to practical, detailed questions;Tags make it easy to find interesting questions;You earn reputation when people vote on your posts;Improve posts by editing or commenting;Unlock badges for special achievements;Find a question to answer, or ask your own | 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 70.0K | Stacks 4 |
Followers 61.9K | Followers 11 |
Votes 893 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Stack Overflow, baikal?
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.
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
Kubeflow
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
TensorFlow.js
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
Polyaxon
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
Quora
It connects you to everything you want to know about. Quora aims to be the easiest place to write new content and share content from the web. We organize people and their interests so you can find, collect and share the information most valuable to you.
Streamlit
It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.
MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
