A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Just a simple Rag example

Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组

Documentation for electronic Babylonian library (eBL) project

Raw dataset for Old Persian cuneiform

User contributed (non Google) OCR models for Tesseract

an OCR tool to translate Old Persian cuneiform (Achaemenid language) by AI

Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.

CP platform (Zookeeper - Kafka - Schema Registry - Kafka Connect - Kafka REST) dockerized

Tutorials for PandasAI

Docker Apache Airflow

Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra

Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra

Example notebook to work with ONNX using Hugging Face libraries

Low-code framework for building custom LLMs, neural networks, and other AI models

A Retrieval Augmented Generation example with Azure

Examples and demos on how to use Retrieval Augmented Generation with Large Language Models

Examples of Vector DBs

This is a repo for doing advanced testing

Learn Apache Airflow with examples

Learn how to use Flask with Celery and RabbitMQ for effective queuing

Errata and code for Effective Pandas book

Datasets for ML, Analysis, etc

Labs for Coursera Applied Kubernetes

programming

MLOps-Roadmap-2023 is a repository that provides a comprehensive and up-to-date guide for anyone who wants to learn and master machine learning operations (MLOps).

The official Meta Llama 3 GitHub site

🟣 MLOps interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Python Command Line Tools course