Social and customizable AI writing assistant! ✍️

Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX, LSM6DSV16X, LIS2DUX12, LIS2DUXS12, LSM6DSV16BX, ASM330LHHXG1, LSM6DSV32X

Structured inference with Llama 2 in your browser

A collapsed-cone convolution radiotherapy dose calculation algorithm

This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Llama_Index. I hope you like this project.

[ECCV'24] Self-training Room Layout Estimation via Geometry-aware Ray-casting

《机器学习编译》的学习笔记和练习代码

Varian ESAPI script that plots doserate vs gantry angle for VMAT plans

The proposed method captures local and global correlations using Low Rank label subspace transformation for Multi-label learning with Missing Labels (LRMML). The model considers an auxiliary label matrix which facilitates the missing label information recovery.

TVM MLIR interface

Mathematics in Industry Landscape - A Presentation for MLC Webinar 2021

The code provided is a complete implementation of a diversity gain engine for an embedded system using STM32 microcontrollers. It involves initializing and configuring several peripherals, such as ADC, UART, SPI, and LoRa modules, to implement a diversity gain engine algorithm with three different combining techniques,: EGC, MLC, and SC.