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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Machine Learning As A Service
  5. GraphLab Create vs Roboflow

GraphLab Create vs Roboflow

OverviewComparisonAlternatives

Overview

GraphLab Create
GraphLab Create
Stacks8
Followers40
Votes3
Roboflow
Roboflow
Stacks5
Followers6
Votes0

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Detailed Comparison

GraphLab Create
GraphLab Create
Roboflow
Roboflow

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

It provides all you need to build and deploy computer vision models, from data annotation and organization tools to scalable deployment solutions that work across devices.

Analyze terabyte scale data at interactive speeds, on your desktop.;A Single platform for tabular data, graphs, text, and images.;State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.;Run the same code on your laptop or in a distributed system, using a Hadoop Yarn or EC2 cluster.;Focus on tasks or machine learning with the flexible API.;Easily deploy data products in the cloud using Predictive Services.;Visualize data for exploration and production monitoring.
Search, curate, and manage visual data; Designed for ultra-fast labeling in the browser; Tools to build accurate models; Deploy custom and foundation models in minutes; Manage annotation projects across multiple work streams
Statistics
Stacks
8
Stacks
5
Followers
40
Followers
6
Votes
3
Votes
0
Pros & Cons
Pros
  • 1
    Intelligent Function Defaults
  • 1
    Fast Data Summary
  • 1
    Simple Machine Learning Tools
No community feedback yet
Integrations
No integrations available
Hugging Face
Hugging Face
Amazon S3
Amazon S3
Zapier
Zapier
Kubernetes
Kubernetes
Amazon Rekognition
Amazon Rekognition
Replit
Replit
Amazon SageMaker
Amazon SageMaker
Google Colaboratory
Google Colaboratory
Google Cloud Run
Google Cloud Run
Google Cloud Vision API
Google Cloud Vision API

What are some alternatives to GraphLab Create, Roboflow?

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

AI Video Generator

AI Video Generator

Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.

Sora 2 AI Video Generator

Sora 2 AI Video Generator

Turns any prompt into a cinematic-ready clip. Type an idea, drop in reference images, and get a polished video alongside invite code updates and compliance guidance.

Free AI Photo Enhancer - Online AI Image Quality Enhancer

Free AI Photo Enhancer - Online AI Image Quality Enhancer

Enhance your photos with our AI Photo Enhancer. Restore colors, sharpen details, remove noise, and upscale low-resolution images to stunning 4K quality.

SoraViz: Visualize Text to Video

SoraViz: Visualize Text to Video

Visualize your ideas with SoraViz. The all-in-one AI video generator integrating Sora 2 & Veo to transform text into cinematic reality.

Sora AI Video Generator (Sora 2)

Sora AI Video Generator (Sora 2)

Experience the next-gen Sora AI Video Generator. With Sora 2, create realistic, long-form AI videos from text or images. Try Sora 2 AI Video Generator now.

Clever AI Humanizer

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

LangChain

LangChain

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

Ollama

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

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