Machine Learning Frameworks

Top 10 Machine Learning Frameworks in 2025 - GeeksforGeeks

In this article, we'll delve into the top 10 Machine Learning frameworks and essential tools for developers.

What Are Machine Learning Frameworks? - Coursera

Machine learning frameworks are tools, libraries, and resources that provide a standardized way for developers and other professionals to tailor ...

Machine Learning Frameworks: Streamlining ML Model Development

In this article, we'll explore what machine learning frameworks are, and highlight five leading ML frameworks and the optimal use cases for each.

[D] What are the necessary python framework(s) to learn to become ...

It lists these - Numpy, Scikit-learn, Tensorflow, Theano, Keras, Pytorch, matplotlib, scipy, seaborn and on and on. Does it mean that I should learn all these ...

Top Machine Learning Frameworks To Use – BMC Software | Blogs

Top Machine Learning Frameworks To Use · TensorFlow · PyTorch · scikit-learn · Spark ML · Torch · Huggingface · Keras. What's an ML framework?

15 Popular Machine Learning Frameworks to Manage Machine Learning Projects · 1. TensorFlow · 2. Keras · 3. MXNet · 4. Caffe · 5. H2O · 7. Shogun.

Deep Learning Frameworks - NVIDIA Developer

Deep Learning Frameworks · NVIDIA-Optimized DL Frameworks · PyTorch · TensorFlow · JAX · PaddlePaddle · MATLAB.

Top 8 Deep Learning Frameworks You Should Know in 2024

Deep learning frameworks can help you upload data and train a deep learning model that would lead to accurate and intuitive predictive analysis.

What are some popular machine learning frameworks used ... - Quora

Currently the most popular frameworks in Machine Learning are Tensorflow, Pytorch and Caffe2. Don't go with Theano since they have stopped their ...

The Ultimate Guide to Machine Learning Frameworks - The New Stack

Want to get started in machine learning? Here are 8 frameworks to consider: SciKit Learn, Onnx, TEnsorFlow, PaddlePaddle, DL4J and MXnet.

Top 6 Machine Learning Frameworks for AI and Deep Learning

Top machine learning frameworks · 1. TensorFlow · 2. Keras · 3. PyTorch · 4. Microsoft NLTK · 5. Scikit-learn · 6. Caffe.

The Top 16 AI Frameworks and Libraries: A Beginner's Guide

Scikit-Learn is a Python library for machine learning. It is an open-source and beginner-friendly tool that offers data mining and machine ...

As a beginner in Machine Learning, which framework you ... - Quora

For a beginner I would recommend to learn about several core concepts and algorithms in machine learning before using either of these ...

Comparison of deep learning software - Wikipedia

References · "Deep Learning — ROCm 4.5. · Atilim Gunes Baydin; Barak A. · "Microsoft/caffe". · "Caffe: a fast open framework for deep learning". · "Caffe | Model Zoo ...

TensorFlow

An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

Effective Machine Learning Frameworks | Medium

Uncover the foundations of these frameworks, from TensorFlow and PyTorch to scikit-learn. Discover essential concepts, algorithms, and techniques.

josephmisiti/awesome-machine-learning: A curated list of ... - GitHub

General-Purpose Machine Learning. Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to ...

AI Frameworks & Tools - Intel

AI Tool Selector · Optimized frameworks, a model repository, and model optimization for deep learning · Extensions for scikit-learn* and XGBoost for machine ...

ML.NET | Machine learning made for .NET - Microsoft

ML.NET is a machine learning framework for .NET. ML.NET supports sentiment analysis, price prediction, fraud detection, and more using custom models.

Top 11 Deep Learning Frameworks to Watch in 2024

Here, we look at some of the top 11 deep learning frameworks (in no particular order) for you to get a better idea of which one of the following is a popular ...