MNmurad/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series, ICML 2026
tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
[ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
This repository contains the Hugging Face Agents Course.
Differentiable fast wavelet transforms in PyTorch with GPU support.
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection (ICML 2025)
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"
Multi-Resolution Mixer Network for Localization of Multiple Sensors from Cumulative Power Measurements (IEEE-WCNC-2025)
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.
Kolmogorov Arnold Networks
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416
A Library for Advanced Deep Time Series Models.