GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

Low earth orbit (LEO) satellite network simulation framework.

Hyperbolic Graph Convolutional Networks in PyTorch.

Explosive immunization algorithm for network fragmentation introduced in Phys. Rev. Lett. 117, 208301

This code implements the decycling and dismantling procedures devoloped in Braunstein, Alfredo, Luca Dall'Asta, Guilhem Semerjian, and Lenka Zdeborová. "Network Dismantling." Proceedings of the Nat…

Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni…

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

Use SciGRID open data to analyze the robustness of the European Power Grid

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

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

This repository implements variational graph auto encoder by Thomas Kipf.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

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

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

A latent text-to-image diffusion model

PyTorch implementations of Generative Adversarial Networks.

Learning Social Graph Topologies using Generative Adversarial Neural Networks

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

This is the notes of the way of machine learning study. You may find something useful in it.

Experiment code for testing effect of various action space transformations in reinforcement learning

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

Everything you need about Active Learning (AL).