waminos

crewAI

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

pykan

Kolmogorov Arnold Networks

darts

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

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

LTSF-Linear

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

Autoformer

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

greykite

A flexible, intuitive and fast forecasting library

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.

PhySO

Physical Symbolic Optimization

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

OpenFE

OpenFE: automated feature generation with expert-level performance

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

Make-A-Scene

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

mango

Parallel Hyperparameter Tuning in Python

tabular-dl-tabr

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

MFLES

GRANDE

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

HopCPT

Conformal Prediction for Time Series with Modern Hopfield Networks

nbsynthetic

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

ATFNet

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

TchelloSimis

Config files for my GitHub profile.

deep-tcn-tensorflow

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

paper-nif

tcan-tensorflow

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

spectranet

TKAT

Temporal Kolmogorov-Arnold Transformer

Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

rayshader_kazakhstan_population

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

ts

time-series

AdaptStdEPF

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