Software Alternatives, Accelerators & Startups

Weights & Biases VS Machine Box

Compare Weights & Biases VS Machine Box and see what are their differences

Weights & Biases logo Weights & Biases

Developer tools for deep learning research

Machine Box logo Machine Box

Run, deploy & scale state of the art machine learning tech
  • Weights & Biases Landing page
    Landing page //
    2023-07-24
  • Machine Box Landing page
    Landing page //
    2019-12-21

Category Popularity

0-100% (relative to Weights & Biases and Machine Box)
Data Science And Machine Learning
AI
47 47%
53% 53
Developer Tools
43 43%
57% 57
Data Science Notebooks
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Machine Box seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Weights & Biases mentions (0)

We have not tracked any mentions of Weights & Biases yet. Tracking of Weights & Biases recommendations started around Mar 2021.

Machine Box mentions (5)

  • [P] 🗣️ Speechbox - A new library to *unnormalize* your speech.
    Reminds me of Machine Box (http://machinebox.io). Source: over 1 year ago
  • Wrapper for Dog CEO API
    Thank you :) I did that to teach dog’s breed to an AI. If you don’t know machine box yet : Https://machinebox.io It seems really cool and easy to use. Source: almost 2 years ago
  • Time to build my Lab
    I think you should go 5 Pi X 5 Jetson Nano’s I haven’t seen many people offloading the Nano’s GPU functionality for ML similar to this Serverless style of product. https://machinebox.io/. Source: almost 3 years ago
  • [P] Facial Recognition with AWS Rekognition or Azure Vision
    For face recognition - CompreFace. Disclaimer - I created it, as an alternative you can use MachineBox, but it's not open source and has limits. Also, I think, you will use some software to control the system, e.g. Frigate or Home Assistant, I think this repository can be useful for you. Source: almost 3 years ago
  • Database for Face Recognition
    If you have a really simple application, you can just save the encodings into the files. If not - it's better to use a database. SQL is ok. But for the best results, I would suggest using milvus.io, as it was created for saving vectors and finding the distances (I haven't tried it, though). If your final goal is not to learn face recognition basics, you can just use free ready to use solutions like CompreFace... Source: almost 3 years ago

What are some alternatives?

When comparing Weights & Biases and Machine Box, you can also consider the following products

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Model Zoo - Deploy your machine learning model in a single line of code.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Nexosis - Easy way for developers to build machine learning apps