Machine Learning Pipelines for Kubeflow.
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A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Collection of patterns for experimenting with agents, llm pipelines, and ChainOfThoughtStrategy.
AutoML framework for the design of composite pipelines.
Modular pipelines for retrieval and generative AI applications.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Python module that helps you build complex pipelines of batch jobs.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes.
Open Source framework for voice and multimodal conversational AI.
MLOps and LLMOps, from the trenches.
CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
Build tool for data science pipelines.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
An Optimized Speech-to-Text Pipeline for the Whisper Model.
Convert monolithic Jupyter notebooks into maintainable pipelines.