fmind/cookiecutter-mlops-package
Instructions file CodexOpenCode
Instructions for fmind/cookiecutter-mlops-package, covering agents.md, project overview, setup & core commands, definition of done and conventions & idioms.
152 tagged machine learning, measured the same way as everything else here.
Browse within: data-science 36deep-learning 36data-visualization 18data-analysis 16artificial-intelligence 15MLOps 13ml 10PyTorch 9mlflow 7Optimization 6machine-learning-algorithms 6mathematics 6apache-airflow 5apache-spark 5
fmind/cookiecutter-mlops-package
Instructions file CodexOpenCode
Instructions for fmind/cookiecutter-mlops-package, covering agents.md, project overview, setup & core commands, definition of done and conventions & idioms.
data-privacy-stack/presidio-research
Instructions file CodexOpenCode
AGENTS.md instructions for data-privacy-stack/presidio-research, covering agents.md — codebase patterns, project setup, canonicalmapper, five issue types (issuetype enum) and resolution dataclass fields.
Instructions file CodexOpenCode
Instructions for apache/texera, covering agents.md, architecture map, amber breakdown, where things live and agent-specific rules.
Instructions file
Instructions for apache/texera: Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the…
Instructions file CodexOpenCode
AGENTS.md instructions for Yeachan-Heo/My-Jogyo, covering agents.md - gyoshu repository guide, the agent team, model configuration, available model aliases and upgrading to premium models.
Instructions file CodexOpenCode
Instructions for PerforatedAI/PerforatedAI, covering agents.md, orientation, setup & checks and traps.
Instructions file
Instructions for fw-ai/cookbook: Ready-to-run Training API recipes built on the Fireworks Python SDK (fireworks.training.sdk). Only training/ is relevant -- ignore other top-level directories.
Instructions file CodexOpenCode
Instructions for VerisimilitudeX/DNAnalyzer, covering agent guide, what this repository is, canonical references for agents, build and verify and conventions that agents frequently get wrong.
Instructions file CodexOpenCode
AGENTS.md instructions for comet-ml/comet-examples, covering agent instructions for comet-examples, repo structure, non-negotiable conventions, credentials — always from environment variables and the comet sdk idiom.
Instructions file CodexOpenCode
Instructions for GrayboxTech/weightslab, covering weightslab — agent context for users & debugging, 0. how to load this guide into claude code, 1. what it is and how the pieces connect, 2. install & run (the happy path) and ... your training loop ...
0bserver07/Study-Reinforcement-Learning
Instructions file CodexOpenCode
AGENTS.md instructions for 0bserver07/Study-Reinforcement-Learning, covering agents.md, what this repo is, layout, review status and voice.
0bserver07/Study-Reinforcement-Learning
Instructions file
Claude Code instructions for 0bserver07/Study-Reinforcement-Learning: Read AGENTS.md. Everything in it applies to Claude Code working in this repo.
AnastasiyaW/codex-claude-code-config
Instructions file CodexOpenCode
Instructions for AnastasiyaW/codex-claude-code-config, covering agents.md, purpose, how agents should use this repo, file transfers and reasoning policy: selection before expansion.
AnastasiyaW/codex-claude-code-config
Instructions file
Instructions for AnastasiyaW/codex-claude-code-config, covering claude global rules, core working rules (always-on, mechanical), quality of solutions -- core principle, supply chain defense and /.npmrc.
TikiTribe/claude-secure-coding-rules
Instructions file
Instructions for TikiTribe/claude-secure-coding-rules, covering claude.md - secure coding rules for claude code, project overview, repository structure, rule counts and rule format.
KittenCN/predict_Lottery_ticket_pytorch
Instructions file CodexOpenCode
Repository instructions for a PyTorch project that predicts lottery tickets. They describe communication practices, expected deliverables, Makefile commands, and a general workflow for implementing requests.
Instructions file GitHub Copilot
Instructions for CliMA/ClimaAtmos.jl: The authoritative agent brief for this repository is AGENTS.md at the repository root. Read it in full before suggesting code, reviewing a PR, or answering a question about this codebase, and follow it as if its contents were inlined here.
Instructions file CodexOpenCode
Instructions for CliMA/ClimaAtmos.jl, covering climaatmos agent guide, ecosystem guidelines, repo-specific guidelines, local norms and self-correction.
Instructions file
Instructions for CliMA/ClimaAtmos.jl, a project described as: GPU-capable global atmosphere model of the CliMA Earth System Model, designed for calibration with data assimilation and machine learning.
Instructions file CodexOpenCode
Instructions for evo-design/proto-tools, a project described as: A universal infrastructure layer for generative biology.
Instructions file
Instructions for evo-design/proto-tools, covering project overview, read before editing, development setup, repository map and canonical toolkit layout.
Instructions file Gemini CLI
Instructions for evo-design/proto-tools, a project described as: A universal infrastructure layer for generative biology.
Dicklesworthstone/model_guided_research
Instructions file CodexOpenCode
AGENTS.md instructions for Dicklesworthstone/model_guided_research, covering mcp agent mail — multi-agent coordination, issue tracking with br (beadsrust), basics, using bv as an ai sidecar and morph warp grep — ai-powered code search.
Dicklesworthstone/model_guided_research
Instructions file
Claude Code instructions for Dicklesworthstone/model_guided_research: RULE NUMBER 1 (NEVER EVER EVER FORGET THIS RULE!!!): YOU ARE NEVER ALLOWED TO DELETE A FILE WITHOUT EXPRESS PERMISSION FROM ME OR A DIRECT COMMAND FROM ME. EVEN A NEW FILE THAT YOU YOURSELF CREATED, SUCH AS A TEST CODE FILE. YOU HAVE A HORRIBLE…