A topic-centric list of HQ open datasets.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

Tutorial of GNN Dynamics, WSDM 2023

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in …

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A curated collection of adversarial attack and defense on graph data.

LATGCN, a GCN model with sensitivity as regularizer

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Papers about recommendation systems that I am interested in

RSTutorials: A Curated List of Must-read Papers on Recommender System.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Python Data Science Handbook: full text in Jupyter Notebooks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.