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Nepali_Text_Summarization_Extractive
Extractive Text Summarizer, based on tf-idf text representation (an example)Nepali_Word2Vec_Model_Making
Making Nepali Word2Vec Model, using Gensim library with Nepali Bible Corpus.Nepali-n-grams-model-using-nltk-Simple-Example
An n-gram model is a type of probabilistic language model for predicting the next item in such a sequence. In n gram language modelling, words are modeled such that each n-gram is composed of n wordsMLP-for-MNIST-Handwritten-Digit-Recognition
Django-Blog-App
Recalling Django...First_Deep_Learning_Model_in_Python_using_Keras
First Deep Learning Neural Network Model in Python using KerasPython-Dictionary-Basics
Python-Dictionary-BasicsOOP_in_Python_Basics
OOP in Python (Basics)Basic-Plots-for-Data-Visualization
Basic Plots for Data VisualizationBreast-Cancer-Detection-a-case-study-on-UCI-Breast-Cancer-Diagnostic-Dataset
News_Extraction_from_HTMLs_and_Dataset_Making
Extracting News Text and required tags from locally stored/offline html files to prepare the News Dataset for the purpose of Nepali News Classifier ProjectFace-Detection-on-Videos-using-OpenCV-DNN
Face Detection on Videos using OpenCV DNNSimple-Analog-Clock-with-Basics-of-js-css
Simple Analog Clock with Basics of js, cssNepali-News-Classifier
Nepali News Classifier is an application that can classify the unlabelled or unclassified news/text document into predefined target categories.Love Open Source and this site? Check out how you can help us