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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
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
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.
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.
Mathematics in Industry Landscape - A Presentation for MLC Webinar 2021