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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Model Extractor is a video tool for editing, effects, stock footage, animation, 3D, or creator workflows.
Model Viewer is a video tool for editing, effects, stock footage, animation, 3D, or creator workflows.
ModelViewer helps edit, convert, generate, search, or organize images and visual assets.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Pack 3D Models helps edit, convert, generate, search, or organize images and visual assets.
removed some of their better models is a screenshot or image reference showing changes, evidence, examples, or notes.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
The Models Resource supports game modding, engines, custom content, or fan-game development workflows.
Voice Models uses AI for speech, voice, transcription, music, or other audio workflows.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
Practical principles for building controllable LLM applications around deterministic software.
Creates, rewrites or summarizes written content with language models.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Discord invite for joining a related community, support server, updates, or project discussion.
Creates, rewrites or summarizes written content with language models.
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.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.