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awesome-gnns-on-large-scale-graphs

awesome-network-embedding

A curated list of network embedding techniques.

benchmarking-gnns

Repository for benchmarking graph neural networks

codellama

Inference code for CodeLlama models

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

estimnetdirected

Equilibrium Expectation for ERGM parameter estimation for large directed networks

flashlight

A C++ standalone library for machine learning

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-networks

Library to implement graph neural networks in PyTorch

ignnition

Framework for fast prototyping of Graph Neural Networks

llm.c

LLM training in simple, raw C/CUDA

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

nfwpo_final_code

nmpa

Tensorflow implementation of Learning Non-myopic Power Allocation in Constrained Scenarios

pymobility

python implementation of mobility models

stability-uwmmse

This library contains a Tensorflow implementation of the paper Stability Analysis of Unfolded WMMSE for Power Allocation

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

unrolled-wmmse

Tensorflow implementation of Unfolding WMMSE using Graph Neural Networks for Efficient Power Allocation

unrolled-wmmse-for-mu-mimo

Tensorflow implementation of Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

uwmmse_mimo

This library contains a Tensorflow implementation of multi-antenna version of UWMMSE