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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Kedro serves as a robust framework for establishing clean data science practices. By integrating principles from software engineering, it enhances the efficiency of machine-learning initiatives. Within a Kedro project, you will find a structured approach to managing intricate data workflows and machine-learning pipelines. This allows you to minimize the time spent on cumbersome implementation tasks and concentrate on addressing innovative challenges. Kedro also standardizes the creation of data science code, fostering effective collaboration among team members in problem-solving endeavors. Transitioning smoothly from development to production becomes effortless with exploratory code that can evolve into reproducible, maintainable, and modular experiments. Additionally, Kedro features a set of lightweight data connectors designed to facilitate the saving and loading of data across various file formats and storage systems, making data management more versatile and user-friendly. Ultimately, this framework empowers data scientists to work more effectively and with greater confidence in their projects.

Description

NVIDIA Merlin equips data scientists, ML engineers, and researchers with the tools necessary to create scalable, high-performance recommendation systems. This suite includes libraries, methodologies, and various tools that simplify the process of building recommenders by tackling prevalent issues related to preprocessing, feature engineering, training, inference, and production deployment. Optimized components within Merlin facilitate the retrieval, filtering, scoring, and organization of vast data sets, often reaching hundreds of terabytes, all accessed via user-friendly APIs. The implementation of Merlin enables enhanced predictions, improved click-through rates, and quicker production deployment, making it an essential resource for professionals. As a part of NVIDIA AI, Merlin exemplifies the company's dedication to empowering innovative practitioners in their work. Furthermore, this comprehensive solution is crafted to seamlessly integrate with existing recommender systems that leverage both data science and machine learning techniques, ensuring that users can build on their current workflows effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker
Apache Airflow
Apache Spark
Azure Databricks
Azure Machine Learning
Dask
Docker
Jupyter Notebook
Kubeflow
MLflow
Matplotlib
NVIDIA TensorRT
Plotly Dash
Python
Vertex AI
pandas

Integrations

Amazon SageMaker
Apache Airflow
Apache Spark
Azure Databricks
Azure Machine Learning
Dask
Docker
Jupyter Notebook
Kubeflow
MLflow
Matplotlib
NVIDIA TensorRT
Plotly Dash
Python
Vertex AI
pandas

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

Kedro

Website

kedro.org

Vendor Details

Company Name

NVIDIA

Country

United States

Website

developer.nvidia.com/merlin

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Alternatives

Alternatives