Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
Best Practices on Recommendation Systems
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Anthropic's Interactive Prompt Engineering Tutorial
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Example showing how to run a LLM fully inside an AWS Lambda Function
This repo contains some solved python hacker codes
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
A programming language for the cloud ☁️ A unified programming model, combining infrastructure and runtime code into one language ⚡
A command-line tool which can move CloudFormation resources between stacks
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Dir-GNN is a machine learning model that enables learning on directed graphs.
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
This repository contains the resources on graph neural network (GNN) considering heterophily.
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
GraphAny: Fully-inductive Node Classification on Arbitrary Graphs