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Millwright — experimenting with an end-to-end machine learning framework in Rust [P]

Reddit r/MachineLearning ↗ · 2026-08-26

Millwright is an open-source end-to-end machine learning framework in Rust that aims to unify ML workflows with a common abstraction layer, covering stages from data ingestion to monitoring while interoperating with Python and ONNX ecosystems.

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LEMUR 2: Unlocking Neural Network Diversity for AI

arXiv cs.LG ↗ · 2026-07-09 Cached

LEMUR 2 introduces a large-scale dataset of over 14,000 neural network architectures and 750,000 training records across multimodal tasks, supporting NAS, AutoML, and deployment analysis.

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@VukRosic99: A DeepSeek researcher just open-sourced his AutoResearch personal project. For the first time, the AutoResearch Agent a…

X AI KOLs Timeline ↗ · 2026-06-18 Cached

A DeepSeek researcher open-sourced AutoResearch, an autonomous framework that can plan, execute, and debug RL experiments on the DeepSeek 285B model without human intervention, accompanied by a self-play survey paper.

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@victor207755822: Deli AutoResearch SKILL is now officially open source! https://victorchen96.github.io/auto_research/framework.html… Alo…

X AI KOLs Timeline ↗ · 2026-06-17 Cached

Deli AutoResearch SKILL is open-sourced, an autonomous framework that automates GPU experiments and RL pipelines, with a companion survey paper on Self-play.

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MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition

arXiv cs.AI ↗ · 2026-06-02 Cached

MOSAIC introduces a structured agentic framework for automated data science that uses memory-grounded model selection and workflow construction, validated on financial time-series tasks. It outperforms AutoML and agentic baselines.

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Solving the Credit Assignment Problem in Multi-Agent Systems (CANTANTE Framework)

Reddit r/AI_Agents ↗ · 2026-05-20

CANTANTE is an open-source framework that solves the credit assignment problem in multi-agent systems by converting system-level rewards into per-agent update signals, outperforming DSPy-based baselines on coding and math reasoning benchmarks.

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