This repository leverages Generative Adversarial Networks (GANs) to enhance image resolution for various applications, using the Super-Resolution GAN (SRGAN) architecture. The project includes a Jupyter Notebook for model training and a detailed research paper documenting the methodology and results.

دوره جامع یادگیری عمیق با Tensorflow و Keras

Jupyter notebooks for practicing Python data analysis and visualization with Matplotlib, NumPy, Pandas, SciPy, and Seaborn.

Notebooks and references for the submission to SnakeCLEF, 2021 edition.

this repository contains notebooks and code for super-resolution of Sentinel 2 images from GEE

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Identification of brain tumour at a premature stage offers a opportunity of effective medical treatment. For this purpose, the present notebook is an application of deep learning and transfer learning for brain tumor detection using keras from Tensorflow framework.

One notebook trains a vegetable classification model with InceptionV3 using TensorFlow and Keras. The second notebook showcases the pre-trained model's inference on vegetable categories, loading InceptionV3 and enhancing image features. Together, they offer a compact solution for vegetable classification through deep learning.

Automated Tabular Data Extraction and Prediction is a Python project that combines image processing and machine learning for extracting and predicting tabular data from images with over 80% accuracy. Use this versatile solution by exploring the Jupyter Notebook, and seamlessly integrate it into your projects.

Repository consisting important concepts of DL with Jupyter Notebook

This repository provides a Jupyter notebook for (CTC) based Automatic Speech Recognition (ASR) system using TensorFlow and Keras. The primary focus of this repository is to demonstrate the implementation of a CTC ASR model and to show how to train it effectively on the "Yes No" dataset.

Notebook references in learning how to build image recognition models as a beginner from the fundamentals to application

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

In this notebook, I trained a model which uses embedding technique to categorize BBC news.

Jupyter notebook of autoencoder presentation of Benjamin Irving

Small projects I've done over the years, including notebooks from online courses that I took on Coursera/Udacity/Udemy.

ML + AI experiments with python, intended for Jupyter Notebooks (e.g. via Google Colab). Central source of personal language knowledge.

notebook for mnist digit

This notebook builds an artificial recurrent neural network called Long Short Term Memory (LSTM) to predict the adjusted closing price of the GOOGLE. Index by reiterating over the past 60 day stock price

TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)