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 tinygrad include TensorFlow, which is free and open source. Other options are PyTorch, micrograd, PyCaret and SmartPredict. You can choose from more than 10 Software Frameworks like tinygrad for Mac, Windows, Linux, the web and Chrome OS.
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.
A tiny Autograd engine (with a bite! :)). Implements backpropagation (reverse-mode autodiff) over a dynamically built DAG and a small neural networks library on top of it with a PyTorch-like API. Both are tiny, with about 100 and 50 lines of code respectively.
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.