Distributed PyTorch implementation of multi-headed graph convolutional neural networks

Open-source AI cookbook

A curated and collaborative list of awesome Arabic speaker's contributions in tech regardless of their ethnicity, nationality, or location.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

Python client library for Cleanlab Trustworthy Language Model

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A Task-Oriented graph SAmpler for HGNN

VS Code in the browser

This repository contains examples and sample code to help customers get started with using Amazon Neptune in Generative AI applications.

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Framework for enhancing LLMs for RAG tasks using fine-tuning.

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

GraphAny: Fully-inductive Node Classification on Arbitrary Graphs

Public-facing repo for organising activities+ archiving material relating to the Graph Neural Network reading group.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

A Python client for the Neo4j Graph Data Science (GDS) library

A library for efficient similarity search and clustering of dense vectors.

Framework for extending SQL for machine learning on Exasol database systems.

Revolutionizing Database Interactions with Private LLM Technology

Efficient inference in graph learning with LSH.

Code Implementation for the paper "Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network"

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.