Blazxex's starred repositories

Engineering-Books

Softcopy of Engineering Books. If you want a book{s} to be taken down, please contact me.

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Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image

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saleor

Saleor Core: the high performance, composable, headless commerce API.

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3D-Face-Landmark-in-UnityCG-HLSL

3D face landmark detection using MediaPipe's Facemesh and Iris tracking models

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emb-lab-pm25-detector

Embedded Systems Laboratory PM2.5 Detector for Final Project

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lenis

How smooth scroll should be

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MONAI

AI Toolkit for Healthcare Imaging

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Pattern_2024

Pattern @ chula 2024

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global-ai-conf-23

Build Semantic Search Application with Azure OpenAI service and MongoDB Atlas Search

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Exercise-Counter-with-YOLOv8-on-NVIDIA-Jetson

Pose estimation demo for exercise counting with YOLOv8

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OIDv4_ToolKit

Download and visualize single or multiple classes from the huge Open Images v4 dataset

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pattern_2022

Pattern recognition course 2022 @ Chulalongkorn University

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data-class

Repo for 2110211 Introduction to Data Structure

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pythaiasr

Python Thai Automatic Speech Recognition

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shap-e

Generate 3D objects conditioned on text or images

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thailand-geography-json

JSON files for Thailand's geography data, including provinces, districts, subdistricts, and postal codes, adhering to best practices for optimal performance, ease of maintenance, and comprehensibility.

License:MITStargazers:254Issues:0Issues:0

Eye-Tracker

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

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EyeMU

Gaze + IMU Gestures on Mobile Devices

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GazeCapture

Eye Tracking for Everyone

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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Mask-RCNN-TF2.7.0-keras2.7.0

Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0

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Mask_RCNN

Mask R-CNN modified to run on TensorFlow 2

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Mask-RCNN-TF2

Mask R-CNN modified to run on TensorFlow 2

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Mask-RCNN-TF2

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

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