Stars
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
verl: Volcano Engine Reinforcement Learning for LLMs
A collection of resources and papers on Diffusion Models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A unified, comprehensive and efficient recommendation library
Prompts for our Grok chat assistant and the `@grok` bot on X.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
A Python Library for Graph Outlier Detection (Anomaly Detection)
mukul96 / System-Design-AlexXu
Forked from Henrywu573/CatalogueAn index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
PyGCL: A PyTorch Library for Graph Contrastive Learning
Official implementation of Diffusion Autoencoders
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Apply to FNK0020
Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)
Deep and conventional community detection related papers, implementations, datasets, and tools.
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We…
"GraphEdit: Large Language Models for Graph Structure Learning"