A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Design of OpenMP-based Parallel Leiden algorithm for community detection.

A modular graph-based Retrieval-Augmented Generation (RAG) system

AWS Blog post code for running feature-extraction on images using AWS Batch and Cloud Development Kit (CDK).

This project is an example of using AWS Step functions to manage and track a series of AWS Batch jobs in N_TO_N mode.

PySpark test helper methods with beautiful error messages

A series of dockerfiles templates with poetry support as dependency manager

bash script micro-framework - from small stand-alone script to complex projects with CI/CD and testing

Deploying EFA in EKS utilizing GPUDirectRDMA where supported

A high performance and generic framework for distributed DNN training

SAM: Sharpness-Aware Minimization (PyTorch)

Graph partitioning for distributed GNN training

A tool for exploring each layer in a docker image

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Handy tools for AWS Systems Manager - ssm-session, ecs-session, ssm-ssh and ssm-tunnel

Example code for running Spark and Hive jobs on EMR Serverless.

A VS Code Extension to make it easier to manage and develop Spark jobs on EMR

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)

A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.

A framework for few-shot evaluation of language models.

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

A collection of AWESOME things about Graph-Related LLMs.