Based on our record, Scikit-learn should be more popular than Microsoft Bot Framework. It has been mentiond 28 times since March 2021. 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.
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
I have developed MS Teams Message Extension using Java[Spring Boot] and registered the bot in Botframework Development portal[https://dev.botframework.com/]. It is working fine in local. I tested in local environment using a tunneling application named localtunnel. I tested the extension in MS Teams. Source: about 2 years ago
Maybe this will fit your needs? Microsoft Bot Framework - https://dev.botframework.com/. Source: over 2 years ago
This library (also Node.Js) lets you connect to The Microsoft Bot Framework. Source: over 2 years ago
Besides building informational chatbots using QnA Maker, Azure also provides a larger Bot Service for developing more sophisticated chatbots. Transactional chatbots perform operations such as accessing and modifying internal IT documents and databases and dynamic and context aware chatbots can be used as virtual assistants. Bot Framework is an SDK that lets developers create these kinds of chatbots using their... - Source: dev.to / almost 3 years ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
Dialogflow - Conversational UX Platform. (ex API.ai)
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
OpenCV - OpenCV is the world's biggest computer vision library
Amazon Lex - Harness the power behind Amazon Alexa for your own conversational apps.
NumPy - NumPy is the fundamental package for scientific computing with Python