Based on our record, Keras should be more popular than Botpress. It has been mentiond 31 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.
We are seeking an experienced Botpress bot developer to integrate an existing chatbot with our ITOP system for agent routing. The chatbot is already developed and can handle customer inquiries, but we need an integration that will route customers to the appropriate ITOP agent who is currently logged in. Source: about 1 year ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
Greetings! My gf is working on a chatbot project and is responsible for designing the phrases and its behaviours using the Botpress (https://botpress.com/) platform for WhatsApp API. Source: over 2 years ago
Ever read an article that made you switch to Google and search for that secret programming word or jargon? Like you have no clue what the author is talking about in his post. This happened to me when I started coding my first Amazon Alexa Skill. If you are also one of those guys who is getting started with conversational AI, then this short read can be very useful to you. This post will help you understand the... - Source: dev.to / almost 3 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 17 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 26 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
Dialogflow - Conversational UX Platform. (ex API.ai)
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Microsoft Bot Framework - Framework to build and connect intelligent bots.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.