Showing 1-18 of 18 projects
Nightingale is a powerful monitoring and alerting solution for developers, inspired by Grafana's visualization capabilities.
Large Language Model Text Generation Inference library for developers working with AI tools and models.
A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.
A high-performance, reliable web API and microservices framework for Python developers.
An open-source and enterprise-level monitoring system written in Go.
Hug is a Python library that simplifies the development of APIs, making it easy to create and consume them.
Falcon is a free, open-source SQL client for Windows and Mac that provides a powerful data visualization experience.
A familiar HTTP service framework for Python developers, with support for Falcon, Flask, GraphQL, and more.
Falcon is a high-performance web server for Ruby, supporting HTTP/1, HTTP/2 and TLS.
This repository provides examples and utilities for fine-tuning large language models (LLMs) using the PEFT library.
Unified backend API for open-source large language models like LLaMA, Bloom, ChatGLM, and more.
Chrome extension that enables full text history search for developers.
A Java library that provides a virtual hosts implementation using VPN mode and supports wildcard DNS records for Android.
A Python library for parsing HTTP request arguments with built-in support for popular web frameworks.
Integrates Large Language Models (LLMs) into structured NLP pipelines using Spacy.
A Python library for quickly editing and fine-tuning large language models like GPT, BLOOM, and LLAMA.
Open Falcon monitoring system - enterprise-grade time-series data collection and alerting platform
The simplest way to serve AI/ML models in production, with support for popular models like Stable Diffusion and Whisper.
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