Multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
RunThisLLM provides machine-learning models, research, training resources, or evaluation tools.
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
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.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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”.
TeamoRouter provides machine-learning models, research, training resources, or evaluation tools.
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.
Creates or edits images with generative models and visual controls.
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.
An in-depth guide on how to use the AdaMPI AI model for creating 3D photos from 2D images.
Documentation for Tune, covering setup, features, and practical usage.
Unsloth helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Minimize LLM token complexity to save API costs and model computations.
Vast.ai provides machine-learning models, research, training resources, or evaluation tools.
AI product development platform to experiment with, evaluate, and deploy advanced LLM apps.
An inference and serving engine for language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.