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Assemble, configure, and deploy autonomous AI Agents in your browser.
Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
A framework for elegantly configuring complex applications.
Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery.
A tool to help you configure, organize, log and reproduce experiments.
Package, configure, and iterate on a model with Truss at whatever level of control your model needs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
A library that enables training PyTorch models with differential privacy.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.