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

Model viewer for inspecting neural network architecture files from many machine learning frameworks.

ML models and internal tensors 3D visualizer.

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

A model gateway and unified interface for multiple model providers.

Models.dev is a GitHub repository or organization with source code, releases, documentation, or project resources.

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

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.

Unsupervised machine learning with multivariate Gaussian mixture model.

Go binding for MXNet c predict api to do inference with a pre-trained model.

How to Evaluate Large Language Model Outputs: Current Practices FinetuneDB provides machine-learning models, research, training resources, or…

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.

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.

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

Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.

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.

Voice Models uses AI for speech, voice, transcription, music, or other audio workflows.