Best Free Machine Learning Frameworks

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Ranking free machine learning frameworks based on community support, ease of use, performance, and available features.

inventory_2 10 items
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Best 1 TensorFlow
TensorFlow

TensorFlow is an open-source framework developed by Google. It supports a wide range of machine learning and deep learning models, including neural networks. TensorFlow offers excellent performance, e...

8.5 Very Good
2 PyTorch
PyTorch

PyTorch is a popular open-source machine learning library based on the Torch library. It provides dynamic tensor computation and deep neural networks with strong GPU support, making it highly flexible...

8.0 Very Good
3 FastAI
FastAI

FastAI is a library built on top of PyTorch, designed to make deep learning more accessible and efficient. It includes pre-built models and utilities for common tasks, making it ideal for beginners an...

8.0 Very Good
4 Scikit-learn
Scikit-learn

Scikit-learn is a simple and efficient tool for data mining and data analysis. It features various machine learning algorithms, including classification, regression, clustering, and dimensionality red...

7.5 Good
5 Keras
Keras

Keras is a high-level neural networks API, capable of running on top of TensorFlow. It is designed to enable fast experimentation with deep neural networks and provides a simple, intuitive interface f...

7.0 Good
6 Caffe
Caffe

Caffe is a deep learning framework developed by Berkeley Vision and Learning Center. It focuses on speed and efficiency, making it suitable for real-time applications in image processing and computer...

6.5 Fair
7 MXNet
MXNet

MXNet is an open-source deep learning framework that provides a flexible architecture for building and deploying machine learning models. It supports multiple programming languages, including Python,...

6.0 Fair
8 Theano
Theano

Theano is a Python library that allows for the definition, optimization, and evaluation of mathematical expressions involving multi-dimensional arrays. It was widely used but has been deprecated in fa...

5.5 Average
9 DL4J
DL4J

Deeplearning4j (DL4J) is an open-source, distributed deep learning library for Java and Scala. It supports both CPU and GPU processing and provides a wide range of neural network architectures, making...

4.5 Poor
10 Caffe2
Caffe2

Caffe2 is a second-generation deep learning framework developed by Facebook. It offers high performance and flexibility, supporting both CPU and GPU computations. Caffe2 is designed to be modular and...

4.0 Poor

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