Ask About Symptoms is an LLM that has an in-depth understanding of health. The creator of the original version known as DoctorGPT, Siraj Raval, says it works offline, it's cross-platform, & the health data is said to be kept private. We are learning how to build this in our community.

A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection

Running the Multimodal AI Chat App with Ollama using a locally loaded model

Regularized Classification-Aware Quantization

quantization for images

Post-Training Quantization for MeshGraphNet Physics-Based ML Model: Cardiovascular Flow Simulation Implementation

Creating Snapdragon neural processing engine environment to convert protobuf(pb) files to dlc(deep learning container) files as well as use snpe for Quantizing neural networks. Mobile app development link https://github.com/anshumax/mobilenn

NYCU Edge AI Final Project Using SGLang

Uniform quantizer that uses mexCallMATLAB to call different MATLAB commands and plot the results

Quantizing LLMs using GPTQ

(1/3) Training and quantization of a neural network model in the master thesis.

OnnxRT based Inference Optimization of Roberta model trained for Sentiment Analysis On Twitter Dataset

how to optimize large language models (LLMs) to reduce memory usage and computational resource requirements, making them lighter and more efficient.

Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation

Pytorch Model Quantization, Layer Fusion and Optimization

Use HugginFace Transfromers and Pracetice Knowledge distillation, quantization, ONNX, ORT

University Project for core course Digital Communications