- Yogyakarta, ID
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07:08
(UTC +07:00) - @prammmoee
- ikhwanpramuditha
- in/ikhwanpramuditha
Stars
A comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources.
A vision-based tool for transport system flow analysis using Faster R-CNN. This system is able to detect different types of objects, e.g., cars, buses, pedestrians, and classify as well as count th…
A simplified implemention of Faster R-CNN that replicate performance from origin paper
A faster pytorch implementation of faster r-cnn
A sample project to build a custom Faster RCNN model using Tensorflow object detection API
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
🚀🧨📝 Series of Tutorials to learn about Jetpack Compose with subjects Material Widgets, Layout, SubcomposeLayout, custom layouts, State, custom rememberable, recomposition, LaunchedEffect, side-effe…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A PyTorch implementation of EfficientNet
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Display predicted Video, Images and webcam using YOLO models (YOLOv7 & YOLOv8) with Streamlit
Magelang is a programming language targeting webassembly
A collection of pre-trained, state-of-the-art models in the ONNX format
C++ implementation of YOLOv11 using TensorRT API
Effortlessly generate meaningful and automated commit messages using AI-powered Groq API. Perfect for developers seeking faster Git workflows with minimal effort.
Discord Rich Presence extension for VSCode
⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
A curated list of awesome computer graphics.