Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
BeeCTD offers a comprehensive eCTD management system tailored for pharmaceutical companies and regulatory bodies. With its modular design and clear licensing approach, users can select the specific modules they wish to utilize, such as Reader, Compiler, and Validator. The advanced Reader provides insights into the complete lifecycle of the dossier, accommodating both eCTD and NeeS sequences, and facilitates the transition between the two formats, including baseline submissions. Additionally, the real-time sequence validator ensures compliance with the eCTD/NeeS technical specifications, incorporating best practices, while always reflecting the latest validation criteria, with older versions accessible for reference. Users can seamlessly compile their documents into an eCTD-compliant format, leveraging our eCTD compiler tool, which they can use independently or as an on-demand service where we handle the compilation for them. Moreover, the flexibility and scalability of BeeCTD make it an ideal choice for organizations seeking to enhance their regulatory submission processes.
Description
Luminal is a high-performance machine-learning framework designed with an emphasis on speed, simplicity, and composability, which utilizes static graphs and compiler-driven optimization to effectively manage complex neural networks. By transforming models into a set of minimal "primops"—comprising only 12 fundamental operations—Luminal can then implement compiler passes that swap these with optimized kernels tailored for specific devices, facilitating efficient execution across GPUs and other hardware. The framework incorporates modules, which serve as the foundational components of networks equipped with a standardized forward API, as well as the GraphTensor interface, allowing for typed tensors and graphs to be defined and executed at compile time. Maintaining a deliberately compact and modifiable core, Luminal encourages extensibility through the integration of external compilers that cater to various datatypes, devices, training methods, and quantization techniques. A quick-start guide is available to assist users in cloning the repository, constructing a simple "Hello World" model, or executing larger models like LLaMA 3 with GPU capabilities, thereby making it easier for developers to harness its potential. With its versatile design, Luminal stands out as a powerful tool for both novice and experienced practitioners in machine learning.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Hugging Face
No
Llama 3
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Altamira
Founded
2009
Country
Slovakia
Website
www.altamira.ai/beectd/
Vendor Details
Company Name
Luminal
Country
United States
Website
luminalai.com
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No