Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
kmon helps learn, search, or use command-line tools, shell commands, and terminal workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Build, packaging, and run system for ephemeral multi-container environments.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Search engine for exposed services, misconfigurations, leaked data, and internet-facing systems.
LinuxCommand helps learn, search, or use command-line tools, shell commands, and terminal workflows.
Technology link-sharing community focused on programming, security, systems, and computing discussions.
Mac Terminal for Humans helps learn, search, or use command-line tools, shell commands, and terminal workflows.
Macchina is an open source command-line or Unix tool for terminal workflows and system use.
An open course on designing, developing, deploying, and iterating on production ML systems.
AI design tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.
Arch Linux manual page search for commands, configuration files, system calls, and package documentation.
Material Shell helps learn, search, or use command-line tools, shell commands, and terminal workflows.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MiddleClick is an open source command-line or Unix tool for terminal workflows and system use.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.