frldj

private-gpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

django_elastic_demo

django-elasticsearch

Python-Implementation-of-LSA

A Jupyter notebook on implementation of Latent Semantic Analysis (A Topic Modelling Algorithm) in python.

InformationRetrieval

Real Yelp review data, cosine similarity ranking of query review in Vector Space, TF-IDF model. Unigram, Bigram Language model with linear interpolation smoothing, absolute discounting smoothing, Dirichlet smoothing. Perplexity analysis. Evaluations of six language models, including boolean, TF-IDF, Okapi BM25, Pivoted Length Normalization, Jelinek-Mercer smoothing, Dirichlet Prior Smoothing. The evaluation methods include Mean Average Precision, P@K, Reciprocal rank, Normalized Discount Cumulative Gain (NDCG).

BM25

A complete implementation of Okapi BM25 with five evaluation methods (precision, recall, MAP, P at N and NDCG at N), using only standard Python libraries.

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

nlp

Natural Language Processing

search-engine-tfidf

Search engine implementation with TF.IDF algorithm using python + flask + mysql

Intelligent_Document_Finder

Document Search Engine Tool

Coarse-grained-Sentiment-Analysis-on-Swachh-Bharat-using-Tweets

TopicBERT

Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"

Forecast-Daily-Interstate-94-Westbound-Traffic-Volume-for-MN-DoT-ATR-Station-301

Time series forecasting project using SAS

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

CamembertForFun

Small project of sentiment classification using CamemBERT trained on Allociné reviews and with a webapp interface

nyt-article-summarizer

New York Times Article Summarization Tool

NLP-image-to-text

code to extract text from images

cord19

a repo for the cord19 challenge

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Checkbox-Table-cell-detection-using-OpenCV-Python

To extract relevant information from unstructured data sources like OMR sheets, scanned invoices, bills, etc into structured data, using Computer Vision and Natural Language Processing. the primary steps we are dependent on are Optical Character Recognition and Document Layout Analysis. Optical Character Recognition (OCR) is for detecting the text from the image where we try to get additional metadata from the documents like identifying headers, paragraphs, lines, words, tables, key-value pairs, etc.

Search_Engine_for_Wikipedia

Implementing from scratch a search engine for the French Wikipedia

French-Word-Embeddings

French word embeddings from series sub-titles

bert_semantic_matching

BERT中文语义匹配，基于allennlp。

lda2vec

Topic-Modeling-BERT-LDA

# Topic modeling with BERT, LDA and Clustering. Latent Dirichlet Allocation(LDA) probabilistic topic assignment and pre-trained sentence embeddings from BERT/RoBERTa.

TopicModelling-LSA-LDA

Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score were used as evaluation models. (2) Latent Semantic Analysis using Term Frequency- Inverse Document Frequency and Truncated Singular Value Decomposition.

semantic-search-through-wikipedia-with-weaviate

Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

vector_engine

Build a semantic search engine with Transformers and Faiss

Information_retrieval_system

Information retrieval system ,python, Text Mining, bag f words, web Mining, word2Vec, jupyter, IPYNB

DGMS

Code for "Deep Graph Matching and Searching for Semantic Code Retrieval"