Popular GitHub Repositories for Ibm Cloud

A chatbot for banking that uses the Watson Assistant, Discovery, Natural Language Understanding and Tone Analyzer services.

Analyze real-time CCTV images with Convolutional Neural Networks

:video_game: Unity SDK to use the IBM Watson services.

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

Samples using context variables and (system) entities in IBM Watson Assistant (formerly Conversation) service on IBM Cloud

Extract entities and relations from a word document that contains information in tables and text to build a knowledge graph.

In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.

MLflow deployment plugin For IBM-cloud-watson-ml

A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a large number of compute nodes on the IBM Cloud. For now, it only includes an implementation of [Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning](https://arxiv.org/abs/1712.06567).

Stock prediction via sentiment analysis of financial news. Winner of VITHack 2020 in FinTech Domain

Implementation of IBM Watson AI in Augmented Reality!

Imagine boarding the Titanic in 2021, and you have provided all your details as a passenger to the captain. There is are three people involved, the data scientist, captain and the passenger. Imagine the company who has built Titanic has created a machine ML model to predict the rate of survival of the passengers, in case of a disaster. The job of the data scientist is to make a model that is explainable to the passengers who are not technical, and that they get the answer about the reasons why they may not survive.

Resources for my talks on chatbots

In this tutorial, I explained SparkContext by using map and filter methods with Lambda functions in Python and created RDD from object and external files, transformations and actions on RDD and pair RDD, PySpark DataFrame from RDD and external files, used sql queries with DataFrames by using Spark SQL, used machine learning with PySpark MLlib.

ChatGPT Virtual Assistant to Telegram and Discord with Voice Recognition

Hands on workshop material evaluating performance, fairness and robustness of models

Now a days businesses also use chatbots to increase productivity and provide a better customer experience. This demo aims to automate the banking experience for customers regarding loan applications using Watson Studio machine learning, Cloud function, and then extend the Watson Assistant chatbot’s capabilities by connecting it to WhatsApp using Twilio. We will be using Twilio’s sandbox to show how this integration works.

Welcome to the "Chat With Images" app! This innovative application allows users to upload images and engage in a dynamic chat interface. By leveraging the power of IBM Watson API, the app can process and respond to user messages, creating an interactive and engaging experience. Users can easily upload image files in JPG, JPEG, or PNG formats.

An Android ChatBot for Customer Assistance powered by IBM Watson Services (Assistant V1, Text-to-Speech, and Speech-to-Text with Speaker Recognition) on IBM Cloud.

For this article, I show how is possible to build reports for evaluation of responses in Watson Assistant, which allows the business sector to analyze the ChatBot user's feedback automatically.