Name: Seyed Sajad Mirzababaei
Type: User
Bio: Student forever. Jack of all trades, master of some. Punctual. Today’s defeatist, yesterday’s perfectionist. Alternative/Jazz music lover.
Twitter: optimopium
Location: Iran
Blog: https://optimopium.vercel.app
Seyed Sajad Mirzababaei's Projects
This repository introduces a dataset on political/non-political Persian tweet classification. It also implements a few common Active Learning approach to train the model with fewer samples.
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Third iteration of my personal website built with Jekyll
Behave is Python Behaviour driven development test framework
blog rest API implemented using Django rest framework
Data Science Job Position Essentials.
In DSP there are customers from different classes and with different weights
Persian Voting web platform implemented using django
persian hospital website implemented using django
Inklix is a social networking application based on cryptocurrecy
Shared repository for open-sourced projects from the Google AI Language team.
Language Identification
M/M/1/K analytical and simulation implemented.
M/M/1/K with process sharing server analytical and simulation implementation
Masnavi NLP Analysis and Topic Modeling using LDA and NMF
miniact is simple react native mini project
I've created this space to share my thoughts, insights, and findings with the world. Here, you'll find a curated collection of my studies and musings, neatly organized for easy access.
Using the similarity of the input query with the document, the most relevant embedding vectors for the document (or sentence) are returned.
Repo contains pre-commit config files suggested for django projects.
Hands on precises to review python packages.
The following repository give an introduction to PySpark.
A library for building hierarchical text representation and corresponding downstream applications.
TestForMiniJavaCompiler is repository devoted to writing test for minijava grammar compiler.(software testing course)
Text and supporting code for Think Stats, 2nd Edition
Pytorch-Named-Entity-Recognition-with-transformers