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
Apps similar to TFLearn include TensorFlow, which is free and open source. Other options are Keras, Torch AI, mlpack and Darknet. In total there are nine Software Frameworks like TFLearn for Linux, Mac, Windows, the web and self-hosting.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch.
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.
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.
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.
Clarifai is the leading deep learning AI platform for computer vision, natural language processing, and automatic speech recognition. We help organizations transform unstructured images, video, and text data into structured data.
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.