Stars
Prompts for our Grok chat assistant and the `@grok` bot on X.
🎒 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
Apply to FNK0020
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
mukul96 / System-Design-AlexXu
Forked from Henrywu573/CatalogueAwesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph r…
Official implementation of the GRU4Rec algorithm in PyTorch
A unified, comprehensive and efficient recommendation library
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)
Official implementation of Diffusion Autoencoders
"GraphEdit: Large Language Models for Graph Structure Learning"
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A collection of resources and papers on Diffusion Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch