Built e2e ci/cd pipeline with GitHub Actions, Docker, Amazon ECR and hosted to Amazon EC2

AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

nannyml: post-deployment data science in python

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A high-throughput and memory-efficient inference and serving engine for LLMs

Awesome products for securing AI systems includes open source and commercial options and an infographic licensed CC-BY-SA-4.0.

A data-centric AI Platform for Building & Using AI

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Tools for easing the handoff between AI/ML and App/SRE teams.

Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

mlflow container setup for docker, docker compose and kubernetes including helm chart

🦄 Unitxt: a python library for getting data fired up and set for training and evaluation

you interest to mlops? here's your encyclopedic repo 👊

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

TUI for sinaraml cli

Examples of models deployable with Truss