#Watson
Showing 9 of 9 repositories tagged #watson, ranked by stars
:comet: Node.js library to access IBM Watson services.
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Build chatbots and conversational experiences using React
:video_game: Unity SDK to use the IBM Watson services.
⚡ Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.
:video_camera: A tool for automatic video creation and uploading on YouTube
This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.
A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.