frldj

frldj's Stars

• zylon-ai/private-gpt

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

  Language:Python53.9k4561.2k7.3k

• spotify/annoy

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

  Language:C++13.2k3173981.2k

• cemoody/lda2vec

  Language:Python3.1k11981628

• castorini/pyserini

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

  Language:Python1.7k18548370

• codebasics/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.

  Language:Jupyter Notebook8361991.8k

• weaviate/semantic-search-through-wikipedia-with-weaviate

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

  Language:Python2428521

• kstathou/vector_engine

  Build a semantic search engine with Transformers and Faiss

  Language:Jupyter Notebook1452456

• acrosson/nlp

  Natural Language Processing

  Language:Python9511382

• Sarthakjain1206/Intelligent_Document_Finder

  Document Search Engine Tool

  Language:Python715314

• AravindR7/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.

  Language:Jupyter Notebook514410

• YatinChaudhary/TopicBERT

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

  Language:Python43115

• ayesha92ahmad/NLP-image-to-text

  code to extract text from images

  Language:Python362115

• dgunning/cord19

  a repo for the cord19 challenge

  Language:Jupyter Notebook324410

• ryderling/DGMS

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

  Language:Python24157

• Ismailhachimi/French-Word-Embeddings

  French word embeddings from series sub-titles

  Language:Jupyter Notebook222011

• AustinKrause/nyt-article-summarizer

  New York Times Article Summarization Tool

  Language:Jupyter Notebook16103

• IkshitaMishra/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.

  Language:Jupyter Notebook12104

• beaupletga/Search_Engine_for_Wikipedia

  Implementing from scratch a search engine for the French Wikipedia

  Language:Jupyter Notebook11202

• boxabhi/django_elastic_demo

  Language:Python82113

• iam-mhaseeb/Python-Implementation-of-LSA

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

  Language:Jupyter Notebook8224

• misbahulard/search-engine-tfidf

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

  Language:Python7111

• yym6472/bert_semantic_matching

  BERT中文语义匹配，基于allennlp。

  Language:Python5200

• SivaAndMe/Coarse-grained-Sentiment-Analysis-on-Swachh-Bharat-using-Tweets

  Language:Jupyter Notebook4124

• Arowwa/CamembertForFun

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

  Language:Python2100

• HARIHARAN548/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.

  Language:Jupyter Notebook2101

• hiteshmishra708/django-elasticsearch

  Language:Python2101

• msesmart/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).

  Language:Java2201

• ChosenOne2241/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.

  Language:Python1200

• jennifernguyen281/Forecast-Daily-Interstate-94-Westbound-Traffic-Volume-for-MN-DoT-ATR-Station-301

  Time series forecasting project using SAS

  Language:SAS1201

• kassimi98/Information_retrieval_system

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

  Language:Jupyter Notebook1100