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Epstein Pipeline is a code project with source, releases, documentation, or setup notes.

Epstein Exposed helps search public documents, archives, records, and research collections.

Epstein Library helps search books, ebooks, papers, library records, or reading archives.

Epstein Research Resources is a Reddit community or thread with discussion, guides, updates, or shared resources.

Epstein Secrets helps search books, ebooks, papers, library records, or reading archives.

Epstein Visualizer helps search books, ebooks, papers, library records, or reading archives.

Pipeline is a Linux, macOS, BSD, or Unix resource for tools, documentation, communities, or system workflows.

Machine Learning Pipelines for Kubeflow.

Creates or edits images with generative models and visual controls.

YumCut - free AI video generator to turn a prompt into ready vertical videos for TikTok, Reels and YouTube Shorts. Auto script, scenes, voiceover, subtitles and watermark. Built with Next.js. Local-first pipeline + templates, batch rendering and API hooks for creators and indie makers. Self-hosted, FFmpeg-ready, multi-language output. Low cost fast

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

Browse research datasets and image related to biology.

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).