Name: Shramay Palta
Type: User
Company: University of Maryland
Bio: Ph.D. Student at University of Maryland, College Park.
Interested in NLP, and Machine Learning.
Location: College Park, MD, USA
Blog: shramay-palta.github.io
Shramay Palta's Projects
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
A complete computer science study plan to become a software engineer.
fast.ai Courses
This repo contains scripts for designing a Cross-Lingual Document Translator using Statistical Machine Translation Model for Dutch and English documents.
This repo contains scripts for analyzing Darknet Data from the Center for Applied Internet Data Analysis(CAIDA), University of San Diego (UCSD).
This repo contains a report as to how to design and implement a digital IC tester based on the 8086 Microprocessor using Assembly Level Language in Proteus.
A template for University of Maryland dissertations
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Repository for the FORK Dataset introduced at ACL 2023.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A repository containing tutorials for practical NLP using PyTorch
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
scikit-learn: machine learning in Python
A beautiful, simple, clean, and responsive Jekyll theme for academics
Arabic Open Domain Question Answering System using Neural Reading Comprehension
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.