A python package that integrates an LLM copilot inside the keras model development workflow.
Directory
Search results
Published directory entries matching your search.
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.
A platform for deploying and serving machine learning models.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.