kaimaoge Goto Github PK

amtpp_for_mobility

Individual Mobility Prediction via Attentive Marked Temporal Point Processes

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

crop

[ICLR 2022] CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

database_scu

Slides for my database courses at SCU

deepar

Tensorflow implementation of Amazon DeepAR

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

demand_forecast

gail-driver

graph-network-paper-list

Summarize interesting graph network papers. Classified by methods and sorted by years.

ignnk

kaimaoge.github.io

lantern-neurips-2019

Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""

lion-pytorch

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

mcgill-beamer-theme

A Latex beamer theme with McGill University's logo.

mobility-forecasting

Multidimensional time series prediction with Hangzhou metro mobility data set.

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

nh-1

A PyTorch Implementation of Neural Hawkes Process. Redefined.

nri

Neural relational inference for interacting systems - pytorch

patchtst

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

pems-bay-2022

requirements

Simple requirements.txt based example

satcn

SATCN for Kriging

simple-vit

Simple implementation of Vision Transformer

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

stmodels_notes

Here are some notes and implementations of my readings on spatiotemporal modeling (updated weekly or monthly).

stpn

Spatiotemporal propagation network for airport delay prediction

sumo-dvsl

A SUMO environment for differential varaible speed limits control

sumo-ring

simple ring simulation with sumo

sumo-rl

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights