This repository archives papers presented at nPlan's Machine Learning Paper Club, serving as a valuable resource for ML practitioners and researchers interested in staying current with cutting-edge research. It provides a curated list of influential papers, discussion summaries, and supplementary materials, fostering a community for learning and knowledge sharing.

How It Works

The repository functions as a historical record and knowledge base for ML paper club discussions. Each entry typically includes the paper's title, authors, presentation date, and often links to recordings, slides, or related code. This structure allows users to easily browse past topics, access presentation materials, and explore the foundational research that has been discussed.

Quick Start & Requirements

This repository is a collection of links and information, not a software package. No installation or specific requirements are needed to access the content.

Highlighted Details

• Extensive historical archive of ML papers discussed from 2019 to the present.
• Covers a broad spectrum of ML topics, including GNNs, Transformers, Reinforcement Learning, and generative models.
• Many entries include direct links to paper recordings, slides, and associated GitHub repositories.
• Provides curated lists of recommended reading for newcomers to ML and specific topics like NLP and Graph Representation Learning.

Maintenance & Community

The repository is maintained by nplan-io. Community engagement is encouraged through a dedicated Discord server, with a strict policy against sales pitches and inappropriate messaging.

Licensing & Compatibility

The repository itself does not specify a license. The licensing of the individual papers referenced would be governed by their respective publishers or authors.

Limitations & Caveats

The repository is a passive archive; it does not provide active tools or code for running experiments. The availability of recordings or supplementary materials is dependent on presenter consent and availability.