Showing 41-59 of 59 projects
An open-source MCP server for LoRA adapters, serving thousands of concurrent requests.
An open-source Arduino library for sending and receiving data using LoRa radios.
NomadNet is a Python-based framework for building decentralized, off-grid mesh networks for private communication.
A library of custom nodes for the ComfyUI AI generation platform, enabling seamless workflow-to-app, screen sharing, and AI-powered features.
A large-scale LLM inference engine built in C++ with support for various AI hardware accelerators.
This GitHub repository provides a collection of tools for controllable video and image generation, including AI-powered animation and ControlNeXt.
This repository provides fine-tuning code for the ChatGLM 6B language model and the Alpaca model, enabling developers to customize these AI models for their own use cases.
ChirpStack Network Server is an open-source LoRaWAN network server for IoT applications.
An Android app for the Meshtastic mesh networking protocol, enabling secure, decentralized communication.
An open-source framework for building knowledgeable large language models with fine-tuning capabilities.
Lua RTOS for the ESP32 microcontroller, enabling IoT development using Lua and FreeRTOS.
A UI tool to make training LoRA/LoCon and other LoRA models in Stable Diffusion scripts easy for vibe coders.
Fine-tune and deploy the Whisper speech recognition model with accelerated inference and support for various platforms.
Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, and more.
A Python library that adds a 'LoRA' block to the Stable Diffusion web UI for customizing model weights.
This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.
A Python library serving multiple LoRA finetuned large language models (LLMs) as one.
An open-source LoRaWAN network server for building IoT applications with long-range wireless connectivity.
This repository provides tools and models for training LoRA (Low-Rank Adaptation) for large language models like LLaMA and ChatGLM, enabling AI-powered code generation and assistance.
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