DataScience-SX

DataScience-SX's Stars

• sunnyqywang/uncertainty

  Language:Jupyter Notebook41

• SalesforceAIResearch/uni2ts

  [ICML2024] Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook65055

• markdregan/Bayesian-Modelling-in-Python

  A python tutorial on bayesian modeling techniques (PyMC3)

  Language:Jupyter Notebook2.5k410

• pgmpy/pgmpy

  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

  Language:Python2.7k695

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.5k742

• kongqi404/timegrad

  Language:Python174

• gwgundersen/bocd

  Python implementation of Bayesian online changepoint detection

  Language:Python8425

• yueliu1999/Awesome-Deep-Graph-Clustering

  Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

  Language:Python753137

• HKUDS/UrbanGPT

  [KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

  Language:Python17524

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.6k1.3k

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.2k190

• Mingyue-Cheng/TimeMAE

  Language:Python707

• wouterkool/attention-learn-to-route

  Attention based model for learning to solve different routing problems

  Language:Jupyter Notebook1k337

• hachinoone/DRLSolver4DTSP

  Language:Python2813

• Logan-Lin/DOT

  Implementation and sample data of the Diffusion-based Origin-destination Travel Time Estimation (DOT) model.

  Language:Python14

• yuanhaitao/STHR_CODE

  Language:Python112

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.8k1.3k

• ivechan/PVCGN

  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

  Language:Python3729

• aptx1231/START

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

  Language:Python6220

• WenMellors/TS-TrajGen

  Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.

  Language:Python372

• BUAABIGSCity/PDFormer

  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

  Language:Python18332

• HaoUNSW/PISA

  Language:Python10516

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.4k985

• BSifringer/EnhancedDCM

  Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit

  Language:Python3317

• WeiChen3690/DisenPOI

  The pytorch implementation of DisenPOI.

  1

• WeiChen3690/STKGRec

  Language:Python112

• familyld/DeepCF

  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

  Language:Python6632

• YangZhengyi98/DreamRec

  Language:Python8211

• LibCity/Bigscity-LibCity

  LibCity: An Open Library for Urban Spatial-temporal Data Mining

  Language:Python871159

• tsinghua-fib-lab/GNN-Recommender-Systems

  An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

  925137