Dialogflow
Chatfuel
Botpress
ChatBot
Intercom
Microsoft Bot Framework
Zendesk
Amazon Lex
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
DialogflowBased on our record, NumPy seems to be a lot more popular than Dialogflow. While we know about 107 links to NumPy, we've tracked only 3 mentions of Dialogflow. 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.
Another option is Dialogflow, a powerful chatbot development platform by Google. Dialogflow utilizes AI and NLP technologies to understand and respond to user queries effectively. It offers advanced customization options, allowing businesses to create chatbots that align with their brand voice and personality. Dialogflow also integrates seamlessly with other Google services, making it suitable for companies... Source: 10 months ago
Using something like this would be a great way to get your IP address blacklisted by Google, with their dreaded “Unusual traffic from your computer network” error. There is no free Bard API for a reason. Google sells access via their Dialogflow product, and it’s very much not free. Source: 12 months ago
Dialogflow - a natural language understanding platform for building conversational experiences. - Source: dev.to / about 1 year ago
First off, we have Dialogflow. If you haven’t used Dialogflow before, let me give you a 3-minute rundown of what it is to help you get started. - Source: dev.to / over 1 year ago
In my intern years, I worked at a company that specialised in creating short-term campaigns for businesses. One of those campaigns, was a voice assistant powered physical installation for a car show. The installation was a walk-in-booth with mirrors for walls and a screen in the middle of the room with a Chromium kiosk and our web app. The web app was built with: Vue as the UI framework, Dialogflow for handling... - Source: dev.to / over 1 year ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Botpress - Open-source platform for developers to build high-quality digital assistants
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ChatBot - Easy to use chatbot platform for business
OpenCV - OpenCV is the world's biggest computer vision library