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)
Platforms
- Mac
- Linux
- Windows
- Python
Keras is described as 'Deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch' and is an app in the development category. There are nine alternatives to Keras for a variety of platforms, including Linux, Mac, Windows, Web-based and Python apps. The best Keras alternative is TensorFlow, which is both free and Open Source. Other great apps like Keras are TFLearn, mlpack, Torch AI and Darknet.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
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.
mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features.
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
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.
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...
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.
Cloud AutoML helps you easily train high quality custom machine learning models with limited machine learning expertise needed.
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