Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Columbus Project is an advanced subdomain discovery service with fast, powerful and easy to use API.
OSINT tool that helps derive possible phone numbers connected to an email using partial number clues.
Practical principles for building controllable LLM applications around deterministic software.
A machine learning / bayesian inference assigning attributes to objects.
30x-seo helps research keywords, search demand, related terms, and content opportunities for SEO.
MCP server for Todoist integration enabling natural language task management with Claude.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
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.
An Artificial Intelligence Automation Platform.
A comprehensive set of fairness metrics for datasets and machine learning models.
Open-source Python library enabling ML model inspection and interpretation.
An open source Python library focused on outlier, adversarial and drift detection.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instruct-tune LLaMA on consumer hardware.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.