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
tinygrad is described as 'This may not be the best deep learning framework, but it is a deep learning framework' and is an app in the development category. There are more than 10 alternatives to tinygrad for a variety of platforms, including Mac, Windows, Linux, Python and JavaScript apps. The best tinygrad alternative is TensorFlow, which is both free and Open Source. Other great apps like tinygrad are PyTorch, micrograd, PyCaret and SmartPredict.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.
PyCaret is an open source low-code machine learning library in Python that aims to reduce the hypothesis to insights cycle time in a ML experiment. It enables data scientists to perform end-to-end experiments quickly and efficiently.
An automated AI platform, based on AutoML 2.0, for designing AI projects in a simpler and customizable way. Become agile, save yourself from staff and hardware worries, and skyrocket your business quickly.




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...
TorchStudio is an open source software created by Robin Lobel, also the creator of the audio editing software Steinberg SpectraLayers.




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.