Lists (2)
Sort Name ascending (A-Z)
Stars
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
TuGraph: A High Performance Graph Database.
A curated list of resources on graph-based retrieval-augmented generation (GraphRAG) for customized large language models.
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
This repository contains the legacy version of adGRAPH. The aim is to provide a way for adGRAPH, ported version of nvGRAPH.
[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, I…
Machine Learning Engineering Open Book
The integration of HugeGraph with AI/LLM & GraphRAG
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
The integration of HugeGraph with artificial intelligence
Benchmark datasets, data loaders, and evaluators for graph machine learning
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Artifact for the MLSys 2023 paper "Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching"
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
A reading list for deep graph learning acceleration.
A quickstart and benchmark for pytorch distributed training.
【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
Optimized primitives for collective multi-GPU communication
A Factored System for Sample-based GNN Training over GPUs
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
😇 A PyTorch-like deep learning framework. Just for fun.