chulhongsung

chulhongsung's Stars

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.1k2959052.6k

• twopirllc/pandas-ta

  Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

  Language:Python5.2k1055701k

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python2.9k35522333

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.3k2565265

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  93336275

• alxndrTL/mamba.py

  A simple and efficient Mamba implementation in pure PyTorch and MLX.

  Language:Python88873582

• valeman/Transformers_Are_What_You_Dont_Need

  The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

  44313125

• FinanceData/OpenDartReader

  Open DART Reader

  Language:Python347204989

• kashif/pytorch-transformer-ts

  Repository of Transformer based PyTorch Time Series Models

  Language:Jupyter Notebook285151741

• ant-research/EasyTemporalPointProcess

  EasyTPP: Towards Open Benchmarking Temporal Point Processes

  Language:Python22913323

• luodhhh/ModernTCN

  This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

  Language:Python1502717

• Waterkin/stock-top-papers

  Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

  1486018

• Atik-Ahamed/TimeMachine

  TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

  Language:Python14141017

• ServiceNow/TACTiS

  TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

  Language:Python11910820

• VEWOXIC/FITS

  FITS: Frequency Interpolation Time Series Analysis Baseline

  Language:Jupyter Notebook10721612

• sjchoi86/intro-dl

  Introduction to Deep Learning

  80618

• Eric991005/Stockformer

  StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks

  Language:Jupyter Notebook793513

• SJTU-Quant/Quant-Reading-List

  Papers for AI + quantitative investment

  71508

• Nixtla/datasetsforecast

  Datasets for time series forecasting

  Language:Jupyter Notebook671097

• kamilest/conformal-rnn

  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.

  Language:Jupyter Notebook653113

• icantnamemyself/SAN

  Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

  Language:Python633103

• ytliu74/FactorVAE

  Reproduce AAAI22-FactorVAE

  Language:Python532214

• nla-group/fABBA

  A Python library for the fast symbolic approximation of time series

  Language:Python40248

• microsoft/subseasonal_data

  Data access package for the SubseasonalClimateUSA dataset

  Language:Python259313

• h01000110/h01000110.github.io

  a lot of things

  Language:HTML22305

• lauramanduchi/treevae

  Tree Variational Autoencoders pytorch implementation

  Language:Jupyter Notebook182

• aws/to-smote-or-not

  Language:Python9404

• sunjiao123sun/CrimeForecaster

  Language:Python7114

• kashif/ForecastPFN

  Language:Jupyter Notebook210

• alexrakowski/dcid

  Code for "DCID: Deep Canonical Information Decomposition" Rakowski, Lippert, to be published at ECML PKDD 2023

  Language:Python1100