"An Open Source Language Model Specialized in Evaluating Other Language Models.".
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Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
Multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models.
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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.
Flexible, high-performance serving system for machine learning models.
Uniform deep learning inference framework for mobile, desktop and server.
Documentation for Tune, covering setup, features, and practical usage.
Minimize LLM token complexity to save API costs and model computations.
AI product development platform to experiment with, evaluate, and deploy advanced LLM apps.
An inference and serving engine for language models.
Build and control your personal LLMs with fast and efficient fine-tuning.
Online car model recognition tool for identifying vehicles from uploaded images.
AXM Paper Space Scale Models is an educational resource for documentaries, courses, books, reference material, or self-learning.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Open-source platform for high-performance ML model serving.
Go binding for MXNet c predict api to do inference with a pre-trained model.
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
Open source MLOps project that eases model handoffs between data scientist and DevOps.