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jbarnes850/README.md

Jarrod Barnes

ML researcher working on training and verification systems for open-ended scientific discovery.

I lead Dynamical Systems, a research lab making science programmable by turning physical science into trainable experience.

Website | Research | LinkedIn | X

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  1. Arc-Computer/ATLAS Arc-Computer/ATLAS Public

    A Continual Learning Framework for Production LLM Agents

    Python 43 6

  2. deepseek-r1-finetune deepseek-r1-finetune Public

    A step by step guide to fine-tuning the DeepSeek R1 Distilled models on Apple Silicon machines.

    Python 59 9

  3. near-horizon/near-ai-agent-studio near-horizon/near-ai-agent-studio Public

    A production-ready starter kit for building AI agents and multi-agent swarms on NEAR.

    Python 28 12

  4. near-horizon/near-protocol-rewards near-horizon/near-protocol-rewards Public

    A transparent, metric-based rewards system for NEAR projects that directly ties incentives to development activity and user adoption.

    TypeScript 33 12

  5. test-time-training test-time-training Public

    Code for "Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation"

    Python 1

  6. mlx-distributed-training mlx-distributed-training Public

    A privacy-first distributed training framework built on MLX for Apple Silicon, enabling secure and efficient AI model training across multiple devices while preserving data privacy.

    Python 13 1