shainaraza's repositories

Applied-Deep-Learning

Applied Deep Learning

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covid-19-community

Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

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RedditBias

Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

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covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

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case-2021-shared-task

Information and data related to the ProtestNews shared task at CASE @ ACL-IJCNLP 2021 workshop

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python-tutorial

A Python 3 programming tutorial for beginners.

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MER

Minimal Named-Entity Recognizer (MER)

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100-plus-python-coding-problems-with-solutions

A list of python problems for beginners and intermediate developers

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covid19-misinfo

Measuring the Impact‌ ‌of‌ ‌Exposure‌ ‌to‌ ‌COVID-19‌ ‌Vaccine‌ ‌Misinformation‌ ‌on‌ Vaccine Intent

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). Jupyter Notebook coming soon and an inductive example as well. I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings and attention mechanism.

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hedwig

PyTorch deep learning models for document classification

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TDC

Therapeutics Data Commons: Machine Learning Datasets for Therapeutics

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python-tutorial-for-beginners

Python Tutorial for Beginners with 500 Code Examples

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COVID19-Vulnerability-Index_C19VI

This repository provides the C9VI, C19VI-Racial, and C19VI-Poverty datasets. The repository is updated in every three months to include the latest version of these datasets. Currently, it features both the old web maps for 31st July 2020 and new web maps for 31st Oct 2020.

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recmetrics

A library of metrics for evaluating recommender systems

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DocRED

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

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ukraine-news-bias

A Multidimensional Dataset for Analyzing and Detecting News Bias based on Crowdsourcing

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ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

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aim

Aim — a super-easy way to record, search and compare AI experiments

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Multi-XScience

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

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mltk

Machine Learning Tool Kit

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recommenders-1

Best Practices on Recommendation Systems

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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