verl: Volcano Engine Reinforcement Learning for LLMs

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🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Tools for checking ACL paper submissions

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…

A modern LaTeX Beamer theme

Official implementation of the GRU4Rec algorithm in PyTorch

A unified, comprehensive and efficient recommendation library

Mamba SSM architecture

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Graph Signal Processing in Python

Spectral Graph Wavelet Transform

Kolmogorov Arnold Networks

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)

Benchmark

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

Wasserstein Weisfeiler-Lehman Graph Kernels

JS based Paint application for quick online doodling.