• 2
• 0
• 0

DiM

• 2
• 0
• 0

CML_GOV_AMP_Intelligent_Writing_Assistance

• 2
• 0
• 0

CML_AMP_RAG_Studio

• 2
• 0
• 0

CML_AMP_LLM_Fine_Tuning_Studio

• 2
• 0
• 0

AI_AGENTS

• 2
• 0
• 0

LlamaIndex_IN_CML_AMP

• 2
• 0
• 0

CML_AMP_Knowledge_Graph_Backed_RAG

• 2
• 0
• 0

CML_AMP_PromptBrew

Create, iterate, refine and test your LLM prompts with AI assistance.

• 2
• 0
• 0

CML_AMP-Document-Analysis-with-Cohere-CommandR-...

CML AMP creates a Streamlit app to leverage Cohere's Command R model, Cohere's embedding model, and FAISS Efficient Similarity Search for PDF Docum...

• 2
• 0
• 0

CML_AMP-Cohere-Chatbot-with-PDFs

CML AMP creates a Streamlit app to leverage Cohere's Command R model, Cohere's embedding model, and FAISS Efficient Similarity Search for PDF Docum...

• 3
• 0
• 0

dbt-hive

The dbt-hive adapter allows you to use dbt with Apache Hive and Cloudera Data Platform.

• 3
• 0
• 0

spark-timeseries

A library for time series analysis on Apache Spark

• 3
• 0
• 0

dbt-spark-cde-example

• 3
• 0
• 0

CML_AMP_Intelligent_Writing_Assistance

CML_AMP_Intelligent_Writing_Assistance

• 2
• 0
• 0

CML_AMP_Churn_Prediction

Build an scikit-learn model to predict churn using customer telco data.

• 2
• 0
• 0

CML_AMP_Canceled_Flight_Prediction

Perform analytics on a large airline dataset with Spark and build an XGBoost model to predict flight cancellations.

• 2
• 0
• 0

CML_AMP_Active_Learning

An interactive, visual workflow of active learning using the MNIST dataset.

• 2
• 0
• 0

CML_AMP_Question_Answering

Explore an emerging NLP capability with WikiQA, an automated question answering system built on top of Wikipedia.

• 2
• 0
• 0

CML_AMP_MLFlow_Tracking

Experiment tracking with MLFlow.

• 2
• 0
• 0

CML_AMP_Structural_Time_Series

Applying a structural time series approach to California hourly electricity demand data.