Alternatives

Products that do what TensorPort does

Help teams apply machine learning to real-world applications

1
Tensorflow Research Cloud▲288
Accelerating open machine learning research with Cloud TPUs
2017
2
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018
3TR
TensorFlow-Resources – Organized and Useful Resources about TensorFlow▲152
2018 · github.com
4
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016
5
Microsoft Cognitive Toolkit▲110
Microsoft's deep learning toolkit
2017
6
TensorFire▲99
Blazing-fast in-browser neural networks
2017
7
Machine Box▲94
Run, deploy & scale state of the art machine learning tech
2017
8CT
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
2018 · github.com
9
Amazon Machine Learning ▲211
Machine learning made easy for developers of any skill level
2015
10
Nanonets▲135
Turn machine learning into an API call
2017
11
Machine Learning Playground▲169
Breathtaking visuals for learning ML techniques.
2017
12
Keplr▲112
Turn your datasets into prediction engines
2016
13
MindsDB▲235
In-database machine learning
2022
14
Gradient 1.0▲92
Build and scale real-world machine learning applications
2021
15IR
Initial release of the distributed TensorFlow runtime▲85
2016 · github.com
16
Cortex▲81
Deploy, manage, and scale machine learning applications
2019
17ET
End-to-end deep learning experimentation platform for Tensorflow▲151
2017 · github.com
18
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023
19
ML Showcase▲214
A curated collection of machine learning projects
2017
20
Distill▲200
An interactive, visual journal for Machine Learning research
2017
21
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019
22
Pi▲164
The ML & Data Science toolkit; built for Software Engineers.
2025
23
BigML▲64
Machine learning as a service - build predictive apps
2014
24SA
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
2018 · github.com

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