Keyphrase-Extraction-using-BERT
Here I have tried Keyphrase extraction fron text using BERT. I've used a pytorch-pretrained-bert. The results came out to be very good. Validation loss: 0.09778740532972195 Validation Accuracy: 0.9691100823045266 Validation F1-Score: 0.40851315400532073. I have used google colab for this model and I would advise to use colab until you have a laptop with fairly good configuration.My-Desktop-Assistant
This is a desktop assistant made using python. The libraries used are- pyttsx3, webbrowser, smtplib, random, speech_recognition , wikipedia, datetime, wolframalpha, os, sys, tkinterattendance_management_system
This is a attendance management system using opencv facial recognition and tkinter GUI to make it look more attractive.Chat-APP-with-Socket.io
Just a Chat-App using Socket.ioData-set-Profiling
Analyse any dataset and make a report in matter of seconds with <10 lines of codeInvisble-Cloak
Movie-review-Sentiment-analysis
This is an implementation of BERT. I found BERT really useful and easy to use . Training the model was super easy and results were outstanding. Check Udemy for a free course on BERT.Smallest-Substring
M_Python_Games
This includes games made using pythonApplying-Basic-Snapchat-Filter
This is a python Code for facial recognition using opencv which applies a filter on your face.Handwriting-Recognition-using-MNIST-Data-Set
Tried Handwrting recogniton from PyTorch using the MNIST Data-Set.Profile-LOAN
Basic-Amazon-Scraper
Dialogflow-Human-Hand-Off
This code Includes Dialogflow human Hand-offProject-Django
Movie-review-Chatbot-using-Deep-NLP
This is a ChatBot developed using python and Deep-NLP using Tensorflow for doing movie reviews.Python-GUIs
This repository contain 2 python GUIs, first is the GUI for restaurant management system, nd the other one is for train booking systemScrape-YouTube
This Repository holds Python programs which can Scapre and Download Youtube videos for you. Also, If you wish, there is a program whoch converts videos to GIFs.Self-Drving-Car-Example
Just tried Implementing a Self Driving Car Model using PyTorch. Everything is fairly easy and commented so you won't have any issue understanding it.RC-info-Extraction
!!!!!!!!!!!!!!!!!Extract_rc.ipynb(Jupyter Notebook) and Extract_RC.py(Python File) are same files, I've provided both so that there's no problem in opening the file if Jupyter Notebook is not available!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! This folder contains a Text Detection model for reading RCs. The main tool I've used for the Text detection in RCs is Python - Tesseract. I have used Image enhancement functions to enhance the Color and the Brightness of the Images. Then we convert the images to text, perform the splitting and intialize a list to store the extracted values. Then we extract the following fields from the RCs- 1. Licence Plate number or Regn number 2. VIN number or Chasis number 3. Name 4. Engine Number 5. Registration Date 6. Mfg. Date. after extracting the data, I created a dataframe to store the extracted values and then display the data. and finally we converted the dataframe to a csv(excel) file (RC_info.csv). We can double check our result by displaying the contents of csv. I've done the displaying of the CSV.Lane-Detection-in-still-image
This is a python program using Opencv, Matplotlib and numpy. This detects the lane in a still road image.Love Open Source and this site? Check out how you can help us