Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.
Description
We have created a deep learning algorithm inspired by neuro-biology that functions similarly to an intelligence assessment. This innovative tool autonomously identifies and forecasts patterns, enabling the effortless construction of smart applications.
Our user-friendly software features a clear and concise REST API, making it possible to develop intelligent applications across various environments. Consequently, you can seamlessly integrate it with JavaScript applications, spreadsheets, and even your online trading platforms.
For development and testing purposes, our service is completely free to use. The community edition is available as open-source under the SSPL license. The Vanillatech ML Workstation provides ready-to-use software that operates on your local computer. Should you need any modifications or additional support, please reach out to us for a customized proposal tailored to your needs. With our commitment to accessibility and support, we aim to empower developers at every skill level.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
Yes
Amazon EC2 P5 Instances
Yes
Amazon SageMaker Model Building
Yes
Coiled
Yes
EasyODM
Yes
Flower
Yes
GLM-5.1
Yes
GLM-5.2
Yes
GPUEater
Yes
Gemma 4
Yes
Integrations
AWS Marketplace
Yes
Amazon EC2 P5 Instances
No
Amazon SageMaker Model Building
No
Coiled
No
EasyODM
No
Flower
No
GLM-5.1
No
GLM-5.2
No
GPUEater
No
Gemma 4
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
PyTorch
Founded
2016
Website
pytorch.org
Vendor Details
Company Name
Vanillatech
Founded
2018
Country
Germany
Website
timeseriesforecasting.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No