OCI AI Servies

Demos and example notebooks in using the different OCI AI Services, running from OCI Data Science

Examples

AI Anomaly Detection (OCI_anomaly_detection.ipynb, demo-test-data.csv, demo-training-data.csv). Small example of loading a .csv file, authentication, and invoking a pre-built OCI Anomaly Detection model. First, create an Anomaly Detection model using the Oracle console or build one using the REST APIs. Use the test .csv to invoke the model. Note. In the test .csv are no anomalies yet. You can manually change some of the values to mimick anomalies.
AI Language (twitter_feed_sentiment.ipynb). Twitter batch processing of multiple accounts, looping through user and reply_to information, key phrases, and sentiment analysis using AI Language. Results pushed to autonomous database
AI Document Understanding (The 2 pdf files as input, credit scoring.ipynb) Analyzing PDF files using OCI Data Science and OCI Document Understanding.
AI Document Understanding (oci_document_understanding.ipnyb). Key value extraction and table extraction.
OCI Speech (audio_only.py) Using OCI Speech to transcribe a YouTube video from Speech to Text

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
01-credit-scoring.ipynb		01-credit-scoring.ipynb
02-credit-scoring.ipynb		02-credit-scoring.ipynb
LICENSE		LICENSE
OCI_anomaly_detection.ipynb		OCI_anomaly_detection.ipynb
README.md		README.md
audio_only.py		audio_only.py
bank_statement_2.pdf		bank_statement_2.pdf
bats_detection_jobs_ai_vision.py		bats_detection_jobs_ai_vision.py
demo-test-data.csv		demo-test-data.csv
demo-training-data.csv		demo-training-data.csv
gpu_example_deepface_youtube.ipynb		gpu_example_deepface_youtube.ipynb
oci_document_understanding.ipynb		oci_document_understanding.ipynb
salary_certificate_2.pdf		salary_certificate_2.pdf
twitter_feed_sentiment.ipynb		twitter_feed_sentiment.ipynb