jailukanna's Projects
Machine Learning Experiments and Work
In Implementation, we have developed 3 parts of the Realtime object detection and recognition, 1. Celebrity Face Recognition in images • Input will be an image of a celebrity • The network (CNN) is trained with this celebrity • Output will be the image with bounding boxes and labels around the celebrity face. 2. COCO real-time Multiple object detection using YOLO • Input will be a video of common objects (COCO) • YOLO is trained with the COCO dataset. • Output will be the image or video with bounding boxes and labels around multiple objects detected. 3. Realtime Single object detection of input from webcam/videos • Input will be from webcam, or a video of an object. • Object will be captured using webcam by drawing bounding boxes • The network YOLO would have been trained with that in the process. • Output will be the image or video with confidence levels.
Code repository for Mastering Flask, published by Packt
Bonus materials, exercises, and example projects for our Python tutorials
Website For recipes, Flask & MongoDB/MySQL
Project documentation with Markdown.
Machine learning lessons and teaching projects designed for engineers
HydroCloud Mobile App
Models and examples built with TensorFlow
build a restful service with flask/mongoDB and read & write data with it
Source code for ' MySQL Connector/Python Revealed' by Jesper Wisborg Krogh
Perform CRUD operations on MySQL using a JSON object
Website for Benjamin Hamon
This repository consists of all my NLP Projects
Create delightful python projects using Jupyter Notebooks
Categorize news articles into groups.
This dataset contains around 125k news headlines from the year 2013 to 2018 obtained from HuffPost. The model trained on this dataset could be used to identify tags for untracked news articles or to identify the type of category of the news.
News extraction and scraping. Article Parsing
Scraping news with keywords from general news websites and social media. Importing the url and summary to a Google Sheet
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP