Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RunPod Reviews & Ratings
    167 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    727 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    1,826 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    9 Ratings
    Company Website
  • StackAI Reviews & Ratings
    36 Ratings
    Company Website
  • OORT DataHub Reviews & Ratings
    13 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    975 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    77 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    22 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website

What is PyTorch?

Seamlessly transition between eager and graph modes with TorchScript, while expediting your production journey using TorchServe. The torch-distributed backend supports scalable distributed training, boosting performance optimization in both research and production contexts. A diverse array of tools and libraries enhances the PyTorch ecosystem, facilitating development across various domains, including computer vision and natural language processing. Furthermore, PyTorch's compatibility with major cloud platforms streamlines the development workflow and allows for effortless scaling. Users can easily select their preferences and run the installation command with minimal hassle. The stable version represents the latest thoroughly tested and approved iteration of PyTorch, generally suitable for a wide audience. For those desiring the latest features, a preview is available, showcasing the newest nightly builds of version 1.10, though these may lack full testing and support. It's important to ensure that all prerequisites are met, including having numpy installed, depending on your chosen package manager. Anaconda is strongly suggested as the preferred package manager, as it proficiently installs all required dependencies, guaranteeing a seamless installation experience for users. This all-encompassing strategy not only boosts productivity but also lays a solid groundwork for development, ultimately leading to more successful projects. Additionally, leveraging community support and documentation can further enhance your experience with PyTorch.

What is JAX?

JAX is a Python library specifically designed for high-performance numerical computations and machine learning research. It offers a user-friendly interface similar to NumPy, making the transition easy for those familiar with NumPy. Some of its key features include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for running on CPUs, GPUs, and TPUs. These capabilities are crafted to enhance the efficiency of complex mathematical operations and large-scale machine learning models. Furthermore, JAX integrates smoothly with various tools within its ecosystem, such as Flax for constructing neural networks and Optax for managing optimization tasks. Users benefit from comprehensive documentation that includes tutorials and guides, enabling them to fully exploit JAX's potential. This extensive array of learning materials guarantees that both novice and experienced users can significantly boost their productivity while utilizing this robust library. In essence, JAX stands out as a powerful choice for anyone engaged in computationally intensive tasks.

Media

Media

Integrations Supported

Flower
Gemma 3n
IREN Cloud
LiteRT
Coiled
Cyfuture Cloud
GPUonCLOUD
Giskard
Google AI Edge
Google Cloud Platform
Horovod
JFrog ML
Lightning AI
NVIDIA FLARE
Runyour AI
SiMa
TensorFlow
TrueFoundry
Unify AI
io.net

Integrations Supported

Flower
Gemma 3n
IREN Cloud
LiteRT
Coiled
Cyfuture Cloud
GPUonCLOUD
Giskard
Google AI Edge
Google Cloud Platform
Horovod
JFrog ML
Lightning AI
NVIDIA FLARE
Runyour AI
SiMa
TensorFlow
TrueFoundry
Unify AI
io.net

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PyTorch

Date Founded

2016

Company Website

pytorch.org

Company Facts

Organization Name

JAX

Company Location

United States

Company Website

docs.jax.dev/en/latest/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Popular Alternatives

Popular Alternatives

Apache Mahout Reviews & Ratings

Apache Mahout

Apache Software Foundation
Core ML Reviews & Ratings

Core ML

Apple
AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services
Create ML Reviews & Ratings

Create ML

Apple
DeepSpeed Reviews & Ratings

DeepSpeed

Microsoft
MXNet Reviews & Ratings

MXNet

The Apache Software Foundation
Gensim Reviews & Ratings

Gensim

Radim Řehůřek