PyCaret is described as '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' and is an app in the development category. There are eight alternatives to PyCaret for a variety of platforms, including Mac, Windows, Linux, Python and BSD apps. The best PyCaret alternative is TensorFlow, which is both free and Open Source. Other great apps like PyCaret are tinygrad, PyTorch, micrograd and SerpentAI.
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.
TensorFlow is the most popular Windows, Mac & Linux alternative to PyCaret.
TensorFlow is the most popular Open Source & free alternative to PyCaret.
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.
Serpent.AI is a simple yet powerful, novel framework to assist developers in the creation of game agents. Turn ANY video game you own into a sandbox environment ripe for experimentation, all with familiar Python code.
JS-Torch is a Deep Learning JavaScript library built from scratch, to closely follow PyTorch's syntax.
JS-Torch is the most popular Self-Hosted alternative to PyCaret.
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.
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...
United States
