Shakhizat Nurgaliyev's Projects
Audio Classification on the Arduino GIGA R1 by Utilizing Synthetic Data using Meta's Audiocraft and ChatGPT
Recognising hand gestures using Arduino and TensorFlow Lite
Chat with ChatGPT through Arduino GIGA R1 Display Shield
TinyML: Baby Cry Detection using ChatGPT and Synthetic data
①jetpack4.4、tensorrt7.1.3的nano②分别pytorch,paddle训练模型③部署到nano上(tensorrt加速)
Gesture recognition Using Raspberry Pi Pico and Edge Impulse
Real time face-mask detection system using Deep Learning and TensorRT
In this tutorial, we will cover how to build a face mask detector using M5Stack UnitV2 and Core2 developments boards.
Face Mask Detection system based on computer vision and deep learning concepts on the Nvidia Jetson board
Fire detection system using NVIDIA Omniverse Replicator, Edge Impulse and Arduino Nicla Vision
AI-Powered Photorealistic Talking Avatar
Using FastChat-T5 Large Language Model, Vosk API for automatic speech recognition, and Piper for text-to-speech
Object detection based on various color hues
Convert Pascal VOC annotations to edge impulse JSON uploader script
A solution code for the real time object detection with WebRTC and YOLO article - https://softwarescalability.com
Safety Helmet detector with the NVIDIA Jetson board using YOLOv7 algorithm
Smart control Raspberry Pi Fan with Python and Thingspeak
Arduino and PlatformIO IDE compatible TFT library optimised for the Raspberry Pi Pico (RP2040), STM32, ESP8266 and ESP32 that supports different driver chips
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Vision2Audio - Giving the blind an understanding through AI. Utilizing the server-side implementation of llama.cpp through llava to describe the image using Riva Speech AI SDK
Vision2Audio - Giving the blind an understanding through AI. Utilizing the LLaVA through MLC LLM to describe the image using Nvidia Riva Speech AI SDK
using yolov5 and realsense D435i
A simple implementation of Tensorrt MT-YOLOv6
yolov6n 部署版本,后处理用python语言和C++语言形式进行改写,便于移植不同平台(caffe、onnx、tensorRT)。