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Description
Illuminate the black box and install 3LC to acquire the insights necessary for implementing impactful modifications to your models in no time. Eliminate uncertainty from the training process and enable rapid iterations. Gather metrics for each sample and view them directly in your browser. Scrutinize your training process and address any problems within your dataset. Engage in model-driven, interactive data debugging and improvements. Identify crucial or underperforming samples to comprehend what works well and where your model encounters difficulties. Enhance your model in various ways by adjusting the weight of your data. Apply minimal, non-intrusive edits to individual samples or in bulk. Keep a record of all alterations and revert to earlier versions whenever needed. Explore beyond conventional experiment tracking with metrics that are specific to each sample and epoch, along with detailed data monitoring. Consolidate metrics based on sample characteristics instead of merely by epoch to uncover subtle trends. Connect each training session to a particular dataset version to ensure complete reproducibility. By doing so, you can create a more robust and responsive model that evolves continuously.
Description
EDMS enhances the efficiency and cost-effectiveness of environmental data collection, management, and reporting while ensuring standardization across the board. By establishing a clear, documented, and auditable procedure for collecting, storing, and reporting environmental data, it streamlines the entire process. All phases of sampling and analysis are meticulously tracked, and the system is capable of sending notifications via email or SMS for various purposes. Automatic alerts are generated for instances of non-compliance and sample exceedances, further enhancing accountability. The initial phase of any environmental field initiative involves careful scheduling and planning of sampling events, which EDMS facilitates by enabling project managers to design, assign, and oversee these events. These sampling events can be organized as one-time occurrences or scheduled regularly. Before data collection begins, project managers can identify sampling stations, which come with detailed information about their locations, construction, sampling defaults and methodologies, required laboratory analyses, necessary equipment, and personnel involved. By incorporating these features, EDMS not only simplifies the process but also ensures that all stakeholders are well-informed and prepared for successful data collection.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
Microsoft Azure
NumPy
PyTorch
Integrations
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
Microsoft Azure
NumPy
PyTorch
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,695 per license
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
3LC
Website
3lc.ai/
Vendor Details
Company Name
GAEA Technologies
Founded
1994
Country
Canada
Website
www.gaea.ca/edms.php
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Environmental
Air Management
Auditing
Compliance Management
Document Management
Emissions Inventory
Hazardous Materials Control
Sustainability Management
Training Management
Waste Management
Water Management