IMSL

IMSL

Perforce
+
+

Related Products

  • SKU Science
    16 Ratings
    Visit Website
  • SurveyJS
    64 Ratings
    Visit Website
  • DXcharts
    28 Ratings
    Visit Website
  • RunMyJobs by Redwood
    424 Ratings
    Visit Website
  • JOpt.TourOptimizer
    10 Ratings
    Visit Website
  • SMS Storetraffic
    127 Ratings
    Visit Website
  • Nutrient SDK
    111 Ratings
    Visit Website
  • CBT Nuggets
    493 Ratings
    Visit Website
  • Bidtracer
    39 Ratings
    Visit Website
  • Nasdaq Metrio
    14 Ratings
    Visit Website

About

Enhance performance and save development time with IMSL numerical libraries. Achieve your strategic objectives using IMSL's build tools. Model regression, make decision trees, establish neural networks, and forecast time series with your IMSL library. Rigorously tested and proven for decades across all industries, the IMSL C Numerical Library gives companies a dependable, high-ROI solution for building cutting-edge analytics tools. From data mining and forecasting, to advanced statistical analysis, the IMSL C Numerical Library can help teams quickly add sophisticated functionality to analytic applications. The IMSL C library makes integration and deployment easy. Enjoy easy migrations, support for common platforms and platform combinations, and no added infrastructure on embed in databases or applications.

About

​JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. ​

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developing teams looking for a numerical library solution

Audience

Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Perforce
United States
www.imsl.com

Company Information

JAX
United States
docs.jax.dev/en/latest/

Alternatives

Alternatives

python-sql

python-sql

Python Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
XLMiner

XLMiner

Frontline Systems
DeepSpeed

DeepSpeed

Microsoft
Gensim

Gensim

Radim Řehůřek

Categories

Categories

Integrations

Python
.NET
AWS EC2 Trn3 Instances
C
C#
C++
Equinox
Flower
Gemma 3n
Grain
Hugging Face
IREN Cloud
Java
Keras
LiteRT
NumPy
TensorFlow
Thunder Compute

Integrations

Python
.NET
AWS EC2 Trn3 Instances
C
C#
C++
Equinox
Flower
Gemma 3n
Grain
Hugging Face
IREN Cloud
Java
Keras
LiteRT
NumPy
TensorFlow
Thunder Compute
Claim IMSL and update features and information
Claim IMSL and update features and information
Claim JAX and update features and information
Claim JAX and update features and information