tomrannosaurus

tomrannosaurus's Stars

• qingyuanzhao/bootsens

  Bootstrapping sensitivity analysis

  Language:R83

• valeman/Transformers_And_LLM_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.

  58335

• di-sukharev/opencommit

  GPT wrapper for git — generate commit messages with an LLM in 1 sec — works best with Claude 3.5 — supports local models too

  Language:JavaScript6.3k335

• RyanFitzgerald/devportfolio

  A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

  Language:SCSS4.4k3.8k

• SreeramAnantharaman/IR-MSV-ACD

  Language:R1

• ichalkiad/ardlmidasdnn

  This repository contains the code for the paper "Hybrid ARDL-MIDAS-Transformer Time-Series Regressions for Multi-Topic Crypto Market Sentiment Driven by Price and Technology Factors", by Ioannis Chalkiadakis, Prof. Gareth W. Peters and Dr. Matthew Ames.

  Language:R52

• FRBNY-TimeSeriesAnalysis/Nowcasting

  Nowcasting

  Language:MATLAB20976

• dhopp1-UNCTAD/nowcast_data_update

  All files relating to the UNCTAD nowcasts

  Language:R11

• autogluon/autogluon-assistant

  ML Assistant for Competitive Machine Learning

  Language:Python9112

• hjeglinton/RiskCD

  Language:R12

• ropensci/rix

  Reproducible Data Science environments for R with Nix

  Language:R19315

• openai/swarm

  Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

  Language:Python17.2k1.8k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.8k44.7k

• YIXUANZ/resume.github.io

  A modern static resume template and theme. Powered by Jekyll and GitHub pages.

  Language:JavaScript1

• crispgm/resume

  A minimalist resume template for Jekyll and Hexo

  Language:HTML30487

• sproogen/modern-resume-theme

  A modern static resume template and theme. Powered by Jekyll and GitHub pages.

  Language:HTML2.1k1.4k

• tomrannosaurus/vasc

  vasc

  Language:Jupyter Notebook1

• DaoSword/Time-Series-Forecasting-and-Deep-Learning

  Resources about time series forecasting and deep learning.

  59756

• B-Deforce/multimix_tft

  Contains code for "MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers"

  Language:Python11

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  2.2k194

• illidanlab/T-LSTM

  Time-Aware LSTM

  Language:Python18568

• li-lab-mcgill/BiTimelyGPT

  Code for the paper "Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning"

  Language:Python71

• Laveine-v2/MODS206-DFM

  Nowcasting and Dynamic Factor Models. The aim of this project is to use mixed-frequency models to evaluate and predict economic indicators more frequently (this field is called “Nowcasting”).

  Language:Jupyter Notebook11

• Zhang-Y-J/MF-SVAR

  Policy Effectiveness on the Global COVID-19 Pandemic and Unemployment Outcomes: A Large Mixed Frequency Spatial Approach

  1

• ryancswallace/mf-var-nowcasting

  Mixed Frequency VAR Nowcasting - based on Schorfheide and Song 2022

  Language:MATLAB11

• Giuliaeffe/GARCH-MIDAS-volatility-estimation

  Estimating the impact of Covid-19 pandemic on volatility and Value-at-Risk of energy commodities markets through GARCH models on mixed-frequency data

  Language:R61

• mennosmit-dev/Nowcasting-GDP-using-a-nonlinear-mixed-frequency-factor-approach

  This code executes an optimisation program to nowcasting GDP using factors obtained using kernel PCA. The hyperparameters of the Machine Learning model are tuned based on the last two comparable quarters for which GDP figures are unknown within the vintage data at a specific month in the quarter.

  Language:Python2

• rAButters/mfss

  Mixed Frequency State Space Toolbox for Matlab

  2

• nchak431/BMF

  Bayesian mixed-frequency VAR

  Language:R22

• ankargren/mfbvar_replication

  Replication files for the paper "A mixed-frequency Bayesian vector autoregression with a steady-state prior" by Ankargren, Unosson and Yang.

  Language:R28