juanyu10

juanyu10's Stars

• Theigrams/My-Typora-Themes

  A CSS style for Typora

  Language:CSS722199

• uctb/Urban-Dataset

  Language:Jupyter Notebook196

• uctb/ST-Paper

  Spatio-Temporal Prediction Paper List

  865

• Frank-Wang-oss/FCSTGNN

  Language:Python7412

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.1k983

• GeoDS/CATS

  Conditional Adversarial Trajectory Synthesis

  Language:Python182

• deepkashiwa20/MegaCRN

  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

  Language:Python9616

• 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

  Language:Python1.5k256

• tsinghua-fib-lab/OD_benckmark

  The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques

  253

• wangshusen/DeepLearning

  Language:TeX3.6k819

• williamSYSU/TextGAN-PyTorch

  TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

  Language:Python876207

• PacktPublishing/The-Kaggle-Book

  Code Repository for The Kaggle Book, Published by Packt Publishing

  Language:Jupyter Notebook2.1k450

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python96261

• filipecalegario/awesome-generative-ai

  A curated list of Generative AI tools, works, models, and references

  2.4k362

• HSE-LAMBDA/DeepGenerativeModels

  Language:Jupyter Notebook10335

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook984164

• shayneobrien/generative-models

  Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

  Language:Jupyter Notebook49975

• xiyuanzh/time-series-papers

  An up-to-date list of time-series related papers in AI venues.

  33327

• gcooq/DeepTrip

  source code for DeepTrip

  Language:Python154

• wangyong01/MTNet_Code

  8

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.2k4k

• erik-buchholz/RAoPT

  Reconstruction Attack on Differential Private Trajectory Protection Mechanisms

  Language:Python145

• privacytrustlab/ml_privacy_meter

  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

  Language:Jupyter Notebook572100

• 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, ... 🧠

  Language:Python53.4k5.5k

• vita-epfl/RRB

  Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.

  Language:Python6612

• uqwhua/FreqDP

  ICDE'22: Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories

  Language:C++52

• tisljaricleo/GPS-visualization-Python

  Simple method for the visualization of the GPS records using Python and Open Street Maps.

  Language:Python7958

• gboeing/ppde642

  USC urban data science course series with Python and Jupyter

  Language:Jupyter Notebook1.3k486

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.2k439

• aptx1231/START

  [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).

  Language:Python6520