Scripts that run against Watson Assistant for K fold validation on training set, testing on blind test, and draw precision curves for comparison.
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Updated
Mar 21, 2024 - Jupyter Notebook
Scripts that run against Watson Assistant for K fold validation on training set, testing on blind test, and draw precision curves for comparison.
Chatbot which tells you the price of the cryptocurrencies
In this project, I make use of the embedded Watson AI libraries, to create an application that would perform sentiment analysis on a provided text.I then deploy the said application over the web using Flask framework.
API in Python to send and get an answer from Watson Assistant v2
Using Language Translator from IBM to translate user's input and Watson Assistant responses to Portuguese.
💭 sentiment analysis bot.
Projeto open source para criação de videos automáticos
Song lyric analyzer with Watson Natural Language Understanding
Use AutoAI to detect fraud
A Caffeinated Solution To Privacy - Hack Solution for Abhikalpan 2k19 - IBM Hackathon | IBM Watson NLU
Build a hybrid mobile app that can capture an image,recognize text and translate it using Tesseract OCR & Watson Language Translator
In this code pattern we provide a full roadmap for how to sign up with the salesforce platform and access Watson APIs via the Watson Salesforce SDK.
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
Bots for youtube that creates and posts videos in an automated way.
Robôs para produzir vídeos automatizados
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
This repository shows all the projects that I have been through the courses using Python and Watson AI API and other Watson Applications such as Watson Studio, Watson Discovery, Visual Recognition and Watson Assistant
Projeto que consome a API do Watson Visual Recognition treinada, e compara as imagens importadas com os modelos de tipos de pragas criados na IBM Cloud para o desafio 1
Flask for training/testing Watson, FastText, Gensen Embeddings and hDBScan. Plus it supports MLFlow for model info logging.
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