TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
Cost / License
- Free
- Open Source (Apache-2.0)
United StatesPlatforms
- Mac
- Linux
- Windows
- Python
mlpack Alternatives
Apps similar to mlpack include TensorFlow, which is free and open source. Other options are TFLearn, Keras, Training Mule and Darknet. In total there are eight Software Frameworks like mlpack for Linux, Mac, Windows, the web and self-hosting.
Alternatives list
- 16 TensorFlow alternatives
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
Cost / License
- Free
- Open Source
Platforms
- Linux
- Mac
- TensorFlow
- Python
Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch.
Cost / License
- Free
- Open Source (Apache-2.0)
Platforms
- Self-Hosted
- Linux
- Mac
Training Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results. With your images labelled, we will train the network of your choice and provide you with the model ready for use.
Cost / License
- Freemium
- Proprietary
Platforms
- Online
United Kingdom
+1
Darknet: Open Source Neural Networks in C Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Cost / License
- Free
- Open Source
Platforms
- Linux
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.
Cost / License
- Free
- Open Source (Apache-2.0)
Application type
Platforms
- Mac
- Windows
- Linux
- Java
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both...
Cost / License
- Free
- Open Source (Apache-2.0)
Platforms
- Mac
- Windows
- Linux
Cloud AutoML helps you easily train high quality custom machine learning models with limited machine learning expertise needed.
Cost / License
- Freemium
- Proprietary
Platforms
- Online
C
