Pinned Repositories
20230401
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
benchmarking-gnns
Repository for benchmarking graph neural networks
compiler_tiny
DAG-GNN
decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
ESAN
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
etcd
Distributed reliable key-value store for the most critical data of a distributed system
ExpressGNN
fork-Probabilistic-Graphical-Model
This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford University on Coursera
MengQiaolan's Repositories
MengQiaolan/lifted_sampling_fo2
MengQiaolan/mc_gradients
MengQiaolan/20230401
MengQiaolan/ESAN
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
MengQiaolan/lifted_sampling_ufo2
MengQiaolan/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
MengQiaolan/gnn-comparison
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
MengQiaolan/Hands-on-RL
https://hrl.boyuai.com/
MengQiaolan/kubernetes
Production-Grade Container Scheduling and Management
MengQiaolan/etcd
Distributed reliable key-value store for the most critical data of a distributed system
MengQiaolan/benchmarking-gnns
Repository for benchmarking graph neural networks
MengQiaolan/L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
MengQiaolan/frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
MengQiaolan/GNN-RL-Model-Compression
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
MengQiaolan/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
MengQiaolan/ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
MengQiaolan/SyntheticWorkflows
MengQiaolan/DAG-GNN
MengQiaolan/WorkflowSim-1.0
Wiki pages
MengQiaolan/decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
MengQiaolan/RL-algorithms
RL algorithms
MengQiaolan/compiler_tiny
MengQiaolan/pLogicNet
MengQiaolan/ExpressGNN
MengQiaolan/Gumbel_Softmax_VAE
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
MengQiaolan/fork-Probabilistic-Graphical-Model
This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford University on Coursera