lora

IoT Platform Framework

Communicate Freely

Wifi & BLE driven passenger flow metering with cheap ESP32 boards

OneDiff: An out-of-the-box acceleration library for diffusion models.

Large-scale LLM inference engine

Android application for Meshtastic

LXMF client for Android, Linux and macOS allowing you to communicate with people or LXMF-compatible systems over Reticulum networks using LoRa, Packet Radio, WiFi, I2P, or anything else Reticulum supports.

chatglm 6b finetuning and alpaca finetuning

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

An Open-sourced Knowledgable Large Language Model Framework.

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

Lua RTOS for ESP32

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

A simple mesh network communications app powered by the Reticulum Network Stack.

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

The Things Stack, an Open Source LoRaWAN Network Server

Native Android messaging app using Bluetooth LE, TCP, or RNode (LoRa) over LXMF and Reticulum

A foundation model that generates synchronized video and audio in a single model

《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……

ChirpStack open-source LoRaWAN Network Server

从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/

:airplane: Multi-functional, compatible DIY general aviation proximity awareness system

This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This work has been conducted at the Telecommunication Circuits Laboratory, EPFL.

AI-powered multi-voice audiobook generator — LLM script annotation, voice cloning, voice design, LoRA training, per-line style control, and export to MP3, chaptered M4B, or Audacity multi-track. Built on Qwen3-TTS.

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

CatSniffer is an original multiprotocol and multiband board for sniffing, communicating, and attacking IoT (Internet of Things) devices using the latest radio IoT protocols. It is a highly portable USB stick that integrates TI CC1352, Semtech SX1262, and an RP2040 for V3 or a Microchip SAMD21E17 for V2

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"

The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥