Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition (ICDAR 2023)
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Updated
Aug 29, 2023 - Python
Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition (ICDAR 2023)
Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
Offline AI music recommender & recogniser. Local song ID + smart playlists (CLAP + FAISS).
This space contains the code developed for the image pattern recognition lecture
The goal is to recognize fruit through machine learning algorithm implementations such as K-NN algorithm or K-Mean algorithm.
Work area recognition for small robots. Computer Vision Research Internship. TUAT, Japan.
°©℞ online ckanji runæcognition (Japanese Character) in Javascript
Below are the prerequisites for this project: Python (3.7.4 used) IDE (Jupyter used) Required frameworks are Numpy (version 1.16.5) cv2 (openCV) (version 3.4.2) Keras (version 2.3.1) Tensorflow (Keras uses TensorFlow in backend and for some image preprocessing) (version 2.0.0) Matplotlib (version 3.1.1) Pandas (version 0.25.1)
A collection of open-source, educational MVPs for learning and development. Explore hands-on examples in AI, machine learning, web development, IoT, and more. Designed for students, developers, and educators, this repository encourages experimentation and practical learning. Contributions are welcome!
Created an ASR (Automatic Speech Recognition) system that takes in individual recordings. Each recording represents a sentence composed of 5-10 English language digits, separated by adequate pauses. The system involves segmenting the sentence using a classifier, differentiating between background and foreground sounds.
A modular, scalable, deep learning-based pipeline for classifying mammographic images using various pre-trained CNN architectures.
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