Search results

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

Kubernetes-based system for hyperparameter tuning and neural architecture search.

A python package that integrates an LLM copilot inside the keras model development workflow.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that 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.

Standardized Serverless ML Inference Platform on Kubernetes.

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

FastAPI framework to build production-grade LLM applications.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Serverless LLM apps on Production with Jina AI Cloud (Archived).

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

LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.

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

Neural network inference from the command line, implemented in CHICKEN Scheme.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

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

A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.

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

A chat LLM based on the state-space model architecture.

A model-agnostic visual debugging tool for machine learning.

Small Language Model tailored for edge devices.