Alternative products to TensorFlow Lite

9 alternative and related products to TensorFlow Lite

TensorFlow Lite
Low-latency inference of on-device ML models

TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms but as the adoption of ML models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.

9 Alternatives to TensorFlow Lite

Deep Learning and AI accessible to everyone

Spell is The most flexible and powerful end-to-end platform for ML and deep learning engineering.

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TechCrunch
In 2016, Serkan Piantino packed up his desk at Facebook with hopes to move on to something new. The former Director of Engineering for Faceboook AI Research had every intention to keep working on AI, but quickly realized a huge issue. Unless you're under the umbrella of one of these big tech ...
10 Alternatives to Spell

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

As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects.

To remove the hassle we faced ourselves, we created MLBlocks.

-Train models with only 50 images per class

-Create them without expensive GPUs

-Deploy on any platform through our API

-NO CODE REQUIRED

14 Alternatives to mlblocks

Train custom ML models with minimum effort and expertise

Train high quality custom machine learning models with minimum effort and machine learning expertise.

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Google
" Urban Outfitters is constantly looking for new ways to enhance our customers' shopping experience," says Alan Rosenwinkel, Data Scientist at URBN. "Creating and maintaining a comprehensive set of product attributes is critical to providing our customers relevant product recommendations, accurate search results and helpful product filters; however, manually… See more
TechCrunch
Google today announced the alpha launch of AutoML Vision, a new service that helps developers - including those with no machine learning (ML) expertise - build custom image recognition models.
5 Alternatives to Google CLOUD AUTOML

Create, train and use TensorFlow ML models on .NET

Gradient allows you to create, train, and use machine learning models with the full power of TensorFlow API on .NET

- Train and run models on any hardware platform

- Use distributed training features

- Track your progress with Tensorboard

- Use C#

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Habr
This is a series of articles about my ongoing journey into the dark forest of Kaggle competitions as a .NET developer. I will be focusing on (almost) pure neural networks in this and the following articles. It means, that most of the boring parts of the dataset preparation, like filling out missing values, feature selection, outliers analysis, etc.
10 Alternatives to Gradient
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