Assistant Toolkit
Toolkit for experimentation with watsonx Assistant
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Susi_linux | 1,418 | 3 years ago | 45 | apache-2.0 | Python | |||||
| Hardware for SUSI AI https://susi.ai | ||||||||||
| Ffdl | 683 | a year ago | 1 | April 27, 2019 | 43 | apache-2.0 | Go | |||
| Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes | ||||||||||
| Unity Sdk | 567 | 2 years ago | 1 | apache-2.0 | C# | |||||
| :video_game: Unity SDK to use the IBM Watson services. | ||||||||||
| Classifai | 520 | 3 months ago | 88 | gpl-2.0 | PHP | |||||
| Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. | ||||||||||
| Assistant Toolkit | 90 | 3 months ago | 18 | apache-2.0 | HTML | |||||
| Toolkit for experimentation with watsonx Assistant | ||||||||||
| Watson Stock Advisor | 87 | 2 years ago | 12 | apache-2.0 | JavaScript | |||||
| Create a web app for monitoring sentiment, price, and news for individual listed stocks, using IBM Watson Discovery and CloudantDB as well as Nodejs and Alpha Vantage. | ||||||||||
| Proximity | 47 | a year ago | 6 | mit | JavaScript | |||||
| A multipurpose Discord with moderation, Image search, AI Image recognition and a music player. The bot is designed to be hosted locally on a PC or on Heroku. Feel free to contact or ask me anything by opening an issue. AI Image Recognition by IBM Watson through Watson API. | ||||||||||
| Movie Recommendation Chatbot | 35 | 3 months ago | mit | Jupyter Notebook | ||||||
| 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. | ||||||||||
| Predict Wildfire Intensity | 31 | 5 years ago | apache-2.0 | JavaScript | ||||||
| WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. | ||||||||||
| Watson Nlp | 29 | 7 months ago | 2 | apache-2.0 | Jupyter Notebook | |||||
| This collection demonstrates how to help you to quickly embed Watson NLP in your own applications. | ||||||||||
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