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MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
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.
SinglebaseCloud supports deploying, serving, monitoring, or operating AI and machine-learning systems.
SocialBu supports deploying, serving, monitoring, or operating AI and machine-learning systems.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Stan supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Stanford CS336: Language Modeling from Scratch provides AI-assisted learning, courses, tutorials, or study support.
Examples for ICASSP2024 paper “StemGen: A music generation model that listens”.
Lets you create apps for your ML projects with deceptively simple Python scripts.
Superwise supports deploying, serving, monitoring, or operating AI and machine-learning systems.
systemprompt.io supports deploying, serving, monitoring, or operating AI and machine-learning systems.
TeamoRouter provides machine-learning models, research, training resources, or evaluation tools.
Tecton supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
Inference engine for TensorRT on Nvidia GPUs.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
Creates or edits images with generative models and visual controls.
Inference for text-embedding models.
Flexible, high-performance serving system for machine learning models.
The FLUX.1 family of models – Replicate creates or edits images with generative AI and text-based controls.
Uniform deep learning inference framework for mobile, desktop and server.
A flexible and easy to use tool for serving PyTorch models.