Example end to end data engineering project.

MinIO Client SDK for Python

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Sample project to demonstrate data engineering best practices

Minio Backend for Django

Unified cloud storage API for storage services.

Code for "Efficient Data Processing in Spark" Course

Telegram LLM bot backed by OpenAI, Whisper, Beam, LLaMA, Weaviate, MinIO and MongoDB

Create a streaming data, transfer it to Kafka, modify it with PySpark, take it to ElasticSearch and MinIO

Asynchronous MinIO Client SDK for Python

A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.

Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring

Ansible role for installing and configuring Minio

Full stack data engineering tools and infrastructure set-up

Pyminio is a python client wrapped like the os module to control minio server

Maternal Health Risk prediction MLOps pipeline

A minimalistic and pluggable machine learning platform for Kubernetes.

Creation of a data lakehouse and an ELT pipeline to enable the efficient analysis and use of data

This is a simple face detection api that takes as input, an image and gives as output, detected faces on the image. This API can be used as an alternative to the paid face detection APIs currently available as it gives quite good accuracy levels.