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1. Nepali_Text_Summarization_Extractive Nepali_Text_Summarization_Extractive Public

   Extractive Text Summarizer, based on tf-idf text representation (an example)

   Jupyter Notebook 3 3

2. Nepali-n-grams-model-using-nltk-Simple-Example Nepali-n-grams-model-using-nltk-Simple-Example Public

   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 words

   Jupyter Notebook 2

3. Nepali-News-Classifier Nepali-News-Classifier Public

   Nepali News Classifier is an application that can classify the unlabelled or unclassified news/text document into predefined target categories.

   1

4. Nepali_Word2Vec_Model_Making Nepali_Word2Vec_Model_Making Public

   Making Nepali Word2Vec Model, using Gensim library with Nepali Bible Corpus.

   Jupyter Notebook 3

5. Iris-Classification-Model-Deployed-in-Django Iris-Classification-Model-Deployed-in-Django Public

   Iris-Classification-Model-Deployed-in-Django

   Python

6. retrieval-augmented-generation-rails retrieval-augmented-generation-rails Public

   A minimal RAG (Retrieval-Augmented Generation) system built with Ruby on Rails, Gemini API, and pgvector.

   Ruby