Software Alternatives & Reviews

TFlearn VS Wit.ai

Compare TFlearn VS Wit.ai and see what are their differences

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Wit.ai logo Wit.ai

Easily create text or voice based bots that humans can chat with on their preferred messaging...
Not present
  • Wit.ai Landing page
    Landing page //
    2022-11-04

TFlearn videos

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Wit.ai videos

How to Make a Chatbot with Wit.ai - A Step-by-Step Tutorial

More videos:

  • Review - Zomnio Service Now - Wit.ai Bot

Category Popularity

0-100% (relative to TFlearn and Wit.ai)
OCR
100 100%
0% 0
Chatbots
0 0%
100% 100
Data Science And Machine Learning
Chatbot Platforms & Tools

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TFlearn and Wit.ai

TFlearn Reviews

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Wit.ai Reviews

Top 20 Replika Alternatives for AI Chatbots
One of the most important characteristics that is unique to WIT.ai is its capacity to handle complicated conversations and interactions It can comprehend and respond to inputs from users even when they’re written in a natural languages. WIT.ai also offers ready-made chatbot templates for diverse industries like customers service, online shopping and lead generation. They can...

Social recommendations and mentions

Based on our record, Wit.ai seems to be a lot more popular than TFlearn. While we know about 23 links to Wit.ai, we've tracked only 2 mentions of TFlearn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / over 1 year ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

Wit.ai mentions (23)

  • LLM for chatting and command recognition
    Hello everyone, new to LLMs. I am working on my thesis project. The whole idea is to create a mixed reality voice assistant that can control some devices in a room and you can have with it a more intelligent conversation compared to other voice assistants(Alexa,Google, etc.). I thought initially to use wit.ai for the extraction of commands and if it's not a recognized command to send a request to a chatgpt API.... Source: 5 months ago
  • Properly sending a wav file via post request
    I can't find anything wrong with the code you posted. It is possible that wit.ai is expecting some default header that Unity is not sending (and that you are not setting). Source: about 1 year ago
  • Sample VR AI NPC Project (Godot 3.5.x) - Project files on Github, link below
    Even though this was made for VR hopefully the scripts for wit.ai and GPT will be helpful to anyone who wants to explore this topic and doesn't know where to start. Source: about 1 year ago
  • Show HN: Using GPT-3 and Whisper to save 40% of doctors’ time
    Hey HN, We're Alex, Martin and Laurent. We previously founded [Wit.ai](http://wit.ai/) (W14), which we sold to Facebook in 2015. Since 2019, we've been working on Nabla (https://www.nabla.com), an intelligent assistant for health practitioners. When GPT-3 was released in 2020, we investigated it's usage in a medical context[0], to mixed results. Since then we’ve kept exploring opportunities at the intersection of... - Source: Hacker News / about 1 year ago
  • Instance type or cost for an NLP server?
    Thank you, that's helpful except that currently we're not running our own server. I'm currently using wit.ai for NLP which is a web API service provided by Meta. I'm trying to budget for what it would cost to roll out our own on a private cloud. Source: about 1 year ago
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What are some alternatives?

When comparing TFlearn and Wit.ai, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Dialogflow - Conversational UX Platform. (ex API.ai)

Clarifai - The World's AI

Botpress - Open-source platform for developers to build high-quality digital assistants

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Microsoft Bot Framework - Framework to build and connect intelligent bots.