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Raymond Lo's Projects

100-tiramisu-keras icon 100-tiramisu-keras

Keras implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

blog icon blog

Public repo for HF blog posts

disco_blender icon disco_blender

Run Blender on Dis.co. Also showcase other cloud providers and how to utilize them.

dissertate icon dissertate

Beautiful Word and LaTeX dissertation templates.

examples icon examples

A set of example codes for running Dis.co.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

faceemotion_id icon faceemotion_id

Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)

jetson-inference icon jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

lcnn icon lcnn

LCNN: End-to-End Wireframe Parsing

llama2.openvino icon llama2.openvino

This sample shows how to implement a llama-based model with OpenVINO runtime

microbit-blue icon microbit-blue

This application contains a series of demonstrations which use the BBC micro:bit Bluetooth profile in various ways. It's purpose is both to act as a demo and to provide a source of example code which shows how to use the Bluetooth profile from Android

nvidia-jetson-ai-monitor icon nvidia-jetson-ai-monitor

An example development repository for using Nvidia Jetson Nano or Xavier as health monitor using computer vision.

openvino_build_deploy icon openvino_build_deploy

Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel

openvino_cpp_demo icon openvino_cpp_demo

This will showcase a quick example on how to run OpenVINO Runtime C++ library

openvino_notebooks icon openvino_notebooks

📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓

openvino_tester icon openvino_tester

A set of scripts to validate the OpenVINO environment is installed correctly.

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