🤗 ParsBERT: Transformer-based Model for Persian Language Understanding

Easy-to-use multi-strategic automatic trading for Binance Futures with Telegram integration

Persian Swear Dataset - you can use in your production to filter unwanted content. دیتاست کلمات نامناسب و بد فارسی برای فیلتر کردن متن ها

Sample codes for parallel programming using OpenMP on CPU and CUDA on GPU

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.

Persian sentiment analysis by using universal model language

Fine-tuning XLM-RoBERTa on Social Media Data for Multilingual Sentiment Analysis Tasks

This Repository includes the project of the Biof501 Course

Implementation of Information Gain, Mutual Information, and Chi-Square Algorithms

Diagrams for visualizing neural network architecture (Created with diagrams.net)

AugmentTS :: Time Series Data Augmentation using Deep Generative Models

Neural Plot is a python library for visualizing Neural Networks. It helps to plot Keras/Tensorflow model with matplotlib backend.

Latex code for making neural networks diagrams

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Manning Live Project: Sentiment Analysis and Natural Language Processing for Marketing

A benchmark for evaluation and comparison of various NLP tasks in Persian language.

Face Detection using SVM and Histogram of Oriented Gradients features

⭕️ نپرس که بپرسم، فقط بپرس ⭕️

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy witho…

Data, Benchmarks, and methods submitted to the M4 forecasting competition

A Deep Reinforcement Learning Framework for Stock Market Trading

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

In this sentiment project, I used "Tweet Data During Indonesia Presidential Election in 2014" and try to analyst about the data. In the end, i also try to make multiclass classification (positive, …

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

A comprehensive suite of high-level NLP tasks for Persian language

In this project, we used 3 different metrics (Information Gain, Mutual Information, Chi Squared) to find important words and then we used them for the classification task. We compared the result at…