AI Agent Skills

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

A framework for efficient model inference with omni-modality models

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi…

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.…

Build local voice agents with open-source models

A blazing fast inference solution for text embeddings models

An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.

Lightning ⚡️ fast forecasting with statistical and econometric models.

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, Ten…

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models