Deep Learning Frameworks
Products that provide a framework for developing deep learning models, often offering tools for building and training neural networks.
Updated June 14, 2026
Products that define this theme
A representative set of Artificial Neural Network Software products that exemplify Deep Learning Frameworks, curated as a starting point for finding similar software.
Selected from G2's verified user reviews and ratings, then matched to this theme for relevance.
How Did G2 Choose These Deep Learning Frameworks Products?
The 13 products shown represent a defining sample for the "Deep Learning Frameworks" theme within Artificial Neural Network Software on G2 — not an exhaustive list. They are a curated starting point for discovering similar software.
- Sourced from products with verified G2 user reviews and ratings.
- Matched to this theme based on each product's described capabilities and fit, ordered by relevance.
- Rankings and inclusion are unbiased and are not influenced by vendor payment.
Refreshed weekly. Last updated: June 14, 2026.
PyTorch is an open-source machine learning framework that accelerates the transition from research prototyping to production deployment. Developed by Meta AI and now governed by the PyTorch...
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised...
TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while...
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.
Chainer is a powerful, flexible, and intuitive framework of neural networks that bridge the gap between algorithms and implementations.
Knet (pronounced "kay-net") is a deep learning framework implemented in Julia that allows the definition and training of machine learning models using the full power and expressivity of Julia.
Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
AIToolbox is a comprehensive Swift framework designed to facilitate the development and implementation of artificial intelligence algorithms. It offers a suite of AI modules that cater to various...
DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible...
gobrain is a neural networks written in go that includes just basic Neural Network functions such as Feed Forward and Elman Recurrent Neural Network.
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.