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.
☆644Updated 2 weeks ago
Alternatives and similar repositories for Transformers_And_LLM_Are_What_You_Dont_Need:
Users that are interested in Transformers_And_LLM_Are_What_You_Dont_Need are comparing it to the libraries listed below
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆231Updated last week
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆647Updated last year
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆208Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆165Updated last year
- Python package for conformal prediction☆486Updated 6 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆358Updated last week
- Shapley Interactions and Shapley Values for Machine Learning☆490Updated this week
- Lightweight, useful implementation of conformal prediction on real data.☆866Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆90Updated 10 months ago
- Compendium of free ML reading resources☆306Updated last week
- ☆278Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆641Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆149Updated 6 months ago
- Forecasting: principles and practice in python☆129Updated last year
- Scalable machine 🤖 learning for time series forecasting.☆1,000Updated this week
- Modern Time Series Forecasting with Python, published by Packt☆502Updated 11 months ago
- Unified Training of Universal Time Series Forecasting Transformers☆1,071Updated this week
- Graph Machine Learning course, Xavier Bresson, 2023☆605Updated 7 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆316Updated 2 months ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆628Updated this week
- Methods for online conformal prediction.☆110Updated 2 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆398Updated 11 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,354Updated this week
- A Library for Uncertainty Quantification.☆906Updated 2 weeks ago
- Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …☆9Updated 7 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆225Updated 3 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆106Updated 2 weeks ago
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"☆523Updated this week
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆183Updated 5 months ago
- Software design principles for machine learning applications☆350Updated this week