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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Machine Learning As A Service
  5. Kaggle vs NanoNets

Kaggle vs NanoNets

OverviewComparisonAlternatives

Overview

NanoNets
NanoNets
Stacks17
Followers47
Votes19
Kaggle
Kaggle
Stacks10
Followers7
Votes0

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Detailed Comparison

NanoNets
NanoNets
Kaggle
Kaggle

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.

Machine learners share, stress test, and stay up-to-date on all the latest ML techniques and technologies. Discover a huge repository of community-published models, data & code for your next project.

Image categorization API with less than 30 images per category;Custom object localization API;Text deduplication API;Text categorization API
Find all the resources and knowledge needed for your next real-world ML project; High-quality public datasets. Everything from avocado prices to video game sales; Public notebooks and access to a powerful notebook environment with no cost GPUs & TPUs; Pre-trained, ready-to-deploy ML models; Build your ML skills in a supportive and helpful community
Statistics
Stacks
17
Stacks
10
Followers
47
Followers
7
Votes
19
Votes
0
Pros & Cons
Pros
  • 7
    Simple API
  • 5
    Easy Setup
  • 4
    Easy to use
  • 3
    Fast Training
No community feedback yet
Integrations
Ruby
Ruby
Golang
Golang
Objective-C
Objective-C
Postman
Postman
PHP
PHP
Swift
Swift
Python
Python
Node.js
Node.js
C#
C#
Airtable
Airtable
Jupyter
Jupyter
Python
Python

What are some alternatives to NanoNets, Kaggle?

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

PyXLL

PyXLL

Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!

GraphLab Create

GraphLab Create

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.

BigML

BigML

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

SAM 3D

SAM 3D

Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.

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.

Tinker

Tinker

Is a training API for researchers and developers.

Free AI Pet Portrait Generator

Free AI Pet Portrait Generator

Help artist transform pet photos into stunning artwork in seconds. Create royal portraits, oil paintings, cartoon styles & more. No prompts needed, just upload and generate beautiful AI pet portraits.

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