ping 543f's Projects
PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.
This simple python script shows how to generate random colors output in windows shell and provide a beep sound. This is the initial commit, on the next commits i will add random beep sounds
A simple python chatbot.
Python Data Science Handbook: full text in Jupyter Notebooks
A scrapping script to scrap reviews from web.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Final Project-Web Technology
Code and data repository for the paper titled Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
Download pdfs from Scihub via DOI. Easy to use. Easy to deal with captcha. Easy to update Scihub newest domains.
Sending bulk emails through a python script
Named Entity Recognition (LSTM + CRF) - Tensorflow
contains tutorials and codes regarding an implementation of NER module in spark-nlp-for-healthcare-NER
SmartVA-Analyze Desktop Application
Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
:school: Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.
Java API for working with the SWRL rule and SQWRL query languages
Source code for 'Text Analytics with Python' by Dipanjan Sarkar
Codes for text-mined solid-state reactions dataset
Tensor Jam: Shooting Hoops with Machine Learning
:computer: Learn to code by building projects (deprecated)
Computer Vision Program that utilizes TensorFlow and OpenCV to detect the number of pedestrians and vehicles in a sample video.
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
This project was done with OpenCV Tensorflow libray, Faster R-CNN object detection model and Python language. This project detect and shows the buses and cars in any video or picture. Object detection model has been trained by supervised learning and by labeling about 700 car-bus images.
All the web tech classes assignments' of the students will be managed here