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Discover the large language models examples with insights on business adoption, language model training, and influential models.

LLM Model VRAM Calculator provides machine-learning models, research, training resources, or evaluation tools.

Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.

Local Models Papers helps search books, ebooks, papers, library records, or reading archives.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

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.

An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.

Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

Large Language Model Text Generation Inference.

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.

🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.

Google Speech Gen helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

A machine learning / bayesian inference assigning attributes to objects.

Creates or edits images with generative models and visual controls.

Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.