Nazia Tasnim appledora
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Simple Python Portforwarding Script
Bangla Newspaper Crawler. Crawls over 10 Newspapers. More to be added
Language-Agnostic SEntence Representations
This repository contains demos I made with the Transformers library by HuggingFace.
An unofficial mirror of our repo of the `mwparserfromhtml` package. It is a python library for working with the HTML dumps. Since this is only a mirror, DO NOT PR.
A set of utilities for processing MediaWiki SQL dump data
Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
A tool for holistic analysis of language generations systems
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Bi-encoder Based Entity Linking Tutorial. You can run experiment only in 5 minutes. Experiments on Co-lab pro GPU are also supported!
Using a combination of language models and web scraping for a robust named entity normalization engine to create a hierarchical graph data-structure.
Pen and paper exercises in machine learning
I am trying to describe complex matters in simple doodles!
Backend for Imagine Cup Submission of Project Shaako (Regional FInalist)
Frontend for Imagine Cup Submission of Project Shaako (Regional FInalist)
Code for the VISTA, 3rd place solution to AICITY22 Track 4
Folder / directory structure options and naming conventions for software projects
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
A collection of gazetters which may be used for text extraction used for text extraction. - WORK IN PROGRESS
The goal of this project is to predict the perpetrator's relationship with the victim, by using Classification as a part of machine learning.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep