juanyu10's Stars
Theigrams/My-Typora-Themes
A CSS style for Typora
uctb/Urban-Dataset
uctb/ST-Paper
Spatio-Temporal Prediction Paper List
Frank-Wang-oss/FCSTGNN
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
GeoDS/CATS
Conditional Adversarial Trajectory Synthesis
deepkashiwa20/MegaCRN
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
yuqinie98/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
tsinghua-fib-lab/OD_benckmark
The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
wangshusen/DeepLearning
williamSYSU/TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
filipecalegario/awesome-generative-ai
A curated list of Generative AI tools, works, models, and references
HSE-LAMBDA/DeepGenerativeModels
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
xiyuanzh/time-series-papers
An up-to-date list of time-series related papers in AI venues.
gcooq/DeepTrip
source code for DeepTrip
wangyong01/MTNet_Code
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
erik-buchholz/RAoPT
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
vita-epfl/RRB
Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.
uqwhua/FreqDP
ICDE'22: Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
tisljaricleo/GPS-visualization-Python
Simple method for the visualization of the GPS records using Python and Open Street Maps.
gboeing/ppde642
USC urban data science course series with Python and Jupyter
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
aptx1231/START
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).