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  1. Stackups
  2. AI
  3. Text & Language Models
  4. NLP Sentiment Analysis
  5. Dasha vs Modelfy 3D

Dasha vs Modelfy 3D

OverviewComparisonAlternatives

Overview

Dasha
Dasha
Stacks3
Followers8
Votes0
Modelfy 3D
Modelfy 3D
Stacks0
Followers1
Votes1

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CLI (Node.js)
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Manual

Detailed Comparison

Dasha
Dasha
Modelfy 3D
Modelfy 3D

Dasha is a conversational AI as a Service platform. Dasha lets you create conversational apps that are more human-like than ever before, quicker than ever before and quickly integrate them into your products.

Transform any image to 3D models instantly with our advanced AI image to 3D generator. Convert 2D images to 3D models in seconds - free online tool for 3D printing, games, and professional projects.

Declarative language for conversation design; VSCode extension; native STT, NLP, NLU, NLG and TTS; Support for external TTS; Voice over SIP Trunk; Node.js SDK; Voice over GRPC; Text over GRPC; API-first; Open developer platform; Unlimited conversational depth; High conversational concurrency; Robust digressions and intents for the human-like experience; Custom intents training
image to 3d
Statistics
Stacks
3
Stacks
0
Followers
8
Followers
1
Votes
0
Votes
1
Integrations
Node.js
Node.js
Visual Studio Code
Visual Studio Code
No integrations available

What are some alternatives to Dasha, Modelfy 3D?

rasa NLU

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

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.

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

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.

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

DocRaptor

DocRaptor

DocRaptor makes it easy to convert HTML to PDF and XLS format. Choose your document format, select configuration options and make an HTTP POST request to our server. DocRaptor returns your file in a matter of seconds. We provide extensive documentation and examples to get you started, and our API makes it easy to use DocRaptor to generate PDF and Excel files in your own web applications.

Pandoc

Pandoc

It is a free and open-source document converter, widely used as a writing tool and as a basis for publishing workflows. It converts files from one markup format into another. It can convert documents in (several dialects of) Markdown, reStructuredText, textile, HTML, DocBook, LaTeX, MediaWiki markup, TWiki and many more.

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.

MonkeyLearn

MonkeyLearn

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

Jina

Jina

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

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