klotz: open-source* + machine learning*

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  1. AutoAgent is a revolutionary open-source library designed to automate the tedious process of agent engineering and prompt tuning. By employing a meta-agent, the library allows for the autonomous optimization of an agent's harness, including system prompts, tool definitions, and orchestration strategies, all without human intervention. During a 24-hour run, AutoAgent achieved impressive results, including the top score on SpreadsheetBench and a leading GPT-5 score on TerminalBench. This technology effectively transitions the human's role from a manual engineer to a high-level director, enabling rapid, self-improving agent development across various domains and benchmarks.
  2. PhD student Sarah Alnegheimish is developing Orion, an open-source, user-friendly machine learning framework for detecting anomalies in large-scale industrial and operational settings. She focuses on making machine learning systems accessible, transparent, and trustworthy, and is exploring repurposing pre-trained models for anomaly detection.
  3. A fully open reproduction of DeepSeek-R1. This repo is a work in progress, let's build it together!
  4. • A beginner's guide to understanding Hugging Face Transformers, a library that provides access to thousands of pre-trained transformer models for natural language processing, computer vision, and more.
    • The guide covers the basics of Hugging Face Transformers, including what it is, how it works, and how to use it with a simple example of running Microsoft's Phi-2 LLM in a notebook
    • The guide is designed for non-technical individuals who want to understand open-source machine learning without prior knowledge of Python or machine learning.
  5. Quivr is an open-source RAG framework and a robust AI assistant that helps you manage and interact with information, reducing the burden of information overload. It integrates with all your files and programs, making it easy to find and analyze your data in one place.

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