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qwak-ai / qwak-examples

Example projects that demonstrate how to build, train, and deploy ML features and models using the Qwak platform 🐥
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Qwak Platform Examples

Qwak Platform

Example projects that demonstrate how to build, train, and deploy ML features and models using the Qwak platform 🦅.

Table of Contents

  1. Overview
  2. Getting Started
  3. Projects
  4. Contributing
  5. License

Overview

This repository contains example projects that showcase the capabilities of the Qwak platform for MLOps. Each project is designed to be a standalone example, demonstrating different aspects of machine learning, from data preprocessing to model building and deployment.

Getting Started

To get started with these examples:

  1. Clone this repository.
  2. Navigate to the example project you're interested in.
  3. Follow the README and installation instructions within each project folder.

Projects

Example Category Model Info
Fraud Detection with Feature Store Predictive Catboost Feature Store Fraud Detection model with inference based on Online Features
Sentiment Analysis Predictive BERT Performs binary sentiment analysis using a pre-trained BERT model.
Basic Text Generation Generative BERT Generates text using a pre-trained BERT model.
Credit Risk Assesment Predictive CatBoost Predicts loan default risk using CatBoost algorithm [Poetry]
Customer Churn Analysis Predictive XGBoost Predicts Telecom subscriber churn using XGBoost [Conda].
Code Generation Generative codegen-350M-mono Transformers Autoregressive language models for program synthesis and code generation.
Text Generation Generative FlanT5 Transformers A small T5 model pre-trained for generic text generation tasks.[Conda]
Financial Text Generation Generative T5 Base Transformers T5 base model trained on Financial QA data for domain specific tasks.[Poetry]
Titanic Survival Prediction Predictive CatBoost Binary classification model for Titanic survival prediction.[Conda]
Sentiment Classification Predictive DistilBERT Transformers DistilBERT-based text classifier for Yelp reviews on Qwak platform.[Conda]
Vector Similarity Search Embeddings VectorStore Vectorizes product descriptions for similarity-based search.

Contributing

We welcome contributions! Please read our contributing guidelines for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.