Apache MXNet
ML Framework
Overview
Developed byAmazon Web Services
Maintained byApache Software Foundation
Founded2015
LicenseApache License 2.0
Open source✓ Open Source
Use casedeep learning and neural network training
Integrates with
Also see
Competes with
Knowledge graph stats
Claims24
Avg confidence92%
Avg freshness99%
Last updatedUpdated 5 days ago
WikidataQ28598940
Trust distribution
100% unverified
Governance
Not assessed
Apache MXNet
product
Deep learning framework designed for both efficiency and flexibility, supporting multiple programming languages.
Compare with...pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| free | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
supports language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| R | ○Unverified | High | Fresh | 1 |
| Scala | ○Unverified | Moderate | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Amazon Web Services | ○Unverified | High | Fresh | 1 |
| Apache Software Foundation | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| deep learning and neural network training | ○Unverified | High | Fresh | 1 |
| deep learning framework | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Apache Software Foundation | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Apache License 2.0 | ○Unverified | High | Fresh | 1 |
supports programming language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| Scala | ○Unverified | High | Fresh | 1 |
| R | ○Unverified | High | Fresh | 1 |
| Julia | ○Unverified | Moderate | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Amazon SageMaker | ○Unverified | High | Fresh | 1 |
supports deployment
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| distributed computing | ○Unverified | High | Fresh | 1 |
originally developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| DMLC (Distributed Machine Learning Community) | ○Unverified | High | Fresh | 1 |
supports model format
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| ONNX | ○Unverified | High | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| TensorFlow | ○Unverified | High | Fresh | 1 |
| PyTorch | ○Unverified | High | Fresh | 1 |
originally created by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Amazon | ○Unverified | High | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2015 | ○Unverified | Moderate | Fresh | 1 |
first released year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2015 | ○Unverified | Moderate | Fresh | 1 |