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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Columbus Project is an advanced subdomain discovery service with fast, powerful and easy to use API.
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OSINT tool that helps derive possible phone numbers connected to an email using partial number clues.
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Practical principles for building controllable LLM applications around deterministic software.
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A machine learning / bayesian inference assigning attributes to objects.
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30x-seo helps research keywords, search demand, related terms, and content opportunities for SEO.
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MCP server for Todoist integration enabling natural language task management with Claude.
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A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
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Open-source implementation of Google Vizier for hyper parameters tuning.
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A framework for performing reproducible AI and ML for Weights and Biases.
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50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
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An Artificial Intelligence Automation Platform.
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A comprehensive set of fairness metrics for datasets and machine learning models.
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Open-source Python library enabling ML model inspection and interpretation.
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An open source Python library focused on outlier, adversarial and drift detection.
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Code and documentation to train Stanford's Alpaca models, and generate the data.
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Instruct-tune LLaMA on consumer hardware.
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Ambrosia helps you clean up your LLM datasets using other LLMs.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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AutoML framework & toolkit for machine learning on graphs.
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Automated machine learning for image, text, tabular, time-series, and multi-modal data.
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AutoKeras goal is to make machine learning accessible for everyone.
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Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.