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verl: Volcano Engine Reinforcement Learning for LLMs
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Prompts for our Grok chat assistant and the `@grok` bot on X.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
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Deep and conventional community detection related papers, implementations, datasets, and tools.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
A unified, comprehensive and efficient recommendation library
A Python Library for Graph Outlier Detection (Anomaly Detection)
Awesome 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 Diffusion Autoencoders
A collection of resources and papers on Diffusion Models
PyGCL: A PyTorch Library for Graph Contrastive Learning
"GraphEdit: Large Language Models for Graph Structure Learning"
Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
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)