Tutorial for AutoGen with Amadeus flights API, Parallel Function Calls

Quickly create guest VMs using cloud image files and cloud-init.

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

Notes and guide to using virt-builder to create Ubuntu VMs quickly

This project represents the implementation of the training-free model evaluation based on the Intra-Cluster Distance, and the improved firefly algorithm (IFA) used in our paper "Improving Neural Ar…

Modular PyTorch (Lightning) implementation of Diffusion Probabilistic Models

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)

Open Source Deep Reinforcement Learning, based on Agent 57 (Badia et al, 2020)

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Differentiable fast wavelet transforms in PyTorch with GPU support.

A fully automated HA k3s etcd install with kube-vip, MetalLB, and more

Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning

Web analytics platform. Open source, privacy-focused and simple.

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning libr…

Implement HER in RLlib, test on Cartpole and Minigrid

accepted by IEEE TNNLS, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Trans…

Community template for Snowpack + Svelte + Typescript + TailwindCSS

All the image compression techniques used in the study

A structured implementation of MuZero

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Code for the paper "Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks" ICDM 2020

We're moving. Please visit https://github.com/PyWavelets