Machine-Learning-and-Pattern-Recognition

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Pragmatic & Practical Bayesian Sentiment Classifier

A toolbox for Vietnamese Optical Character Recognition.

The intelligent, effective, All-In-One Android Scanner

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

crnn.caffe

:ab: Character Recognition with Artificial Neural Network ANN - C# Project

Deep-Machine Learning Tutors

Handwriting Transcription using Deep Learning is a project aimed at converting handwritten text into digital text. This project leverages state-of-the-art deep learning techniques to recognize and transcribe handwritten text from images, making it useful for digitizing handwritten notes, documents, and more.

Neural network-based character recognition using MATLAB. The algorithm does not rely on external ML modules, and is rigorously defined from scratch. A report is included which explains the theory, algorithm performance comparisons, and hyperparameter optimization.