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Neuro VS Machine Learning Playground

Compare Neuro VS Machine Learning Playground and see what are their differences

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Neuro logo Neuro

Instant infrastructure for machine learning

Machine Learning Playground logo Machine Learning Playground

Breathtaking visuals for learning ML techniques.
  • Neuro Landing page
    Landing page //
    2021-12-03
  • Machine Learning Playground Landing page
    Landing page //
    2019-02-04

Neuro videos

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High Yield Neurology Review for Step 2 CK & Shelf Exam

More videos:

  • Review - Neurological Disorders Quick Review, Parkinson's, MS, MG, ALS NCLEX RN & LPN
  • Review - High Yield Neurology Review for USMLE and COMLEX with Dr. R

Machine Learning Playground videos

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Machine Learning Playground Demo

Category Popularity

0-100% (relative to Neuro and Machine Learning Playground)

Neuro

Machine Learning Playground

Developer Tools
17 17%
Developer Tools
83% 83
AI
13 13%
AI
87% 87
Data Science And Machine Learning
17 17%
Data Science And Machine Learning
83% 83
APIs
100 100%
APIs
0% 0

User comments

Share your experience with using Neuro and Machine Learning Playground. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Neuro seems to be more popular. It has been mentiond 4 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.

Neuro mentions (4)

  • Is there any practical way or roadmap to learn ML without all the backstage things like theorems,proofs in maths etc. , Like learning how to use ML libraries and frameworks and deploy models?
    Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago
  • [D] Serverless GPU?
    So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: almost 3 years ago
  • [P] Silero NLP streaming on serverless GPUs (~300ms latency)
    A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: about 3 years ago
  • [P] Deepspeech streaming to serverless GPUs
    I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: about 3 years ago

Machine Learning Playground mentions (0)

We have not tracked any mentions of Machine Learning Playground yet. Tracking of Machine Learning Playground recommendations started around Mar 2021.

What are some alternatives?

When comparing Neuro and Machine Learning Playground, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

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

Opta - Opta is a new kind of Infrastructure-As-Code framework designed for fast moving startups.

mlblocks - A no-code Machine Learning solution. Made by teenagers.

Apple Machine Learning Journal - A blog written by Apple engineers

Banana.dev - Banana provides inference hosting for ML models in three easy steps and a single line of code.

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