サーバルと話せます。

This repository hosts BonyadAI, a Persian question answering AI Model. We developed an initial web crawler and scraper to gather the dataset. The second phase involved building a machine learning model based on word embeddings and NLP techniques. This AI model operates end-to-end, receiving user voice input and providing responses in Persian voice.

NLP use cases using popular solutions: Frequency Embeddings, Word embedding (word2vec, doc2vec, Glove), RNN,LSTM, Transformers-BERT, Sentence_Transformers etc. PyTorch

Scrape website for Top Keywords then produce word associations

Simple Indonesian text classifier

Extract Keywords from sentence or Replace keywords in sentences.

🐍 Python Implementation and Extension of RDF2Vec

Golang "native" implementation of word2vec algorithm (word2vec++ port)

Topic Modelling for Humans

My Scientific Research Code Repository.

Conducted intrinsic evaluation of word embeddings through analogy and similarity tests, comparing the custom Skip-gram model’s performance against Google’s pre-trained Word2Vec model to assess the quality of the generated word representations.

This project investigates similar word prediction using pre-trained word embeddings from the Gensim library.

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFI…

This project implements a Word2Vec model for similar word prediction, utilizing Hugging Face Datasets for efficient data loading and pre-processing.

ML Full text search system. Flask, Selenium parser, preprocessing, TF-IDF, Word2Vec

Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.

The projects for the NLP course at the University of Isfahan.

Unigram Part-of-Speech Tagging using Support Vector Machines and Word Embedding Features

This project aims to simplify and summarize scientific data , convert it to a audio format as a podcast , and create a power point presentation from the paper. This helps researchers, academics and students altogether.