rk-sharath Goto Github PK

ai_content_for_cbse_curriculum

automated-order-processing-during-pandemics

Team Technocogent Submission for Call for Code 2020 Covid19 Track

bias-mitigation-of-machine-learning-models-using-aif360

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browser-analytics

content-generation

context-aware-rag-chat

context-chatbot

cpd-intelligent-loan-agent-app

code pattern and instructions to deploy intelligent loan web app

data

deep-learning-language-model

A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow

demand_forecasting_using_deep_learning

doc-summarization

genai-qna

genai-rag

ml-ai-experiments

All my experiments with AI and ML

nlp

node-red-dsx-workflow

powerai-vision-object-detection

Use deep learning to create a model and a REST endpoint to allow your app to detect, locate and count your product on store shelves

qna-testing

rag-genai-img

roman-calculator-py

roman-converter-py

summarize-text

summarizer-insights-audio

telco-customer-churn-on-icp4d

Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data

watson-discovery-ui

Develop a fully featured Node.js web app built on the Watson Discovery Service

xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!