waminos

TKAT

Temporal Kolmogorov-Arnold Transformer

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

pykan

Kolmogorov Arnold Networks

crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

ATFNet

Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

MFLES

GRANDE

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

ts

time-series

tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

HopCPT

Conformal Prediction for Time Series with Modern Hopfield Networks

AdaptStdEPF

Code and experiments related to the paper: 'An adaptive standardisation model for Day-Ahead electricity price forecasting'

PhySO

Physical Symbolic Optimization

nbsynthetic

nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets

rayshader_kazakhstan_population

Creating Kazakhstan population density 3d map using #rayshader #rstats library

OpenFE

OpenFE: automated feature generation with expert-level performance

mango

Parallel Hyperparameter Tuning in Python

darts

A python library for user-friendly forecasting and anomaly detection on time series.

tcan-tensorflow

TensorFlow implementation of TCAN model for multivariate time series forecasting with sparse attention mechanisms.

deep-tcn-tensorflow

TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

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

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

spectranet

greykite

A flexible, intuitive and fast forecasting library

Make-A-Scene

Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

TchelloSimis

Config files for my GitHub profile.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

paper-nif

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008