Popular GitHub Repositories for Cholesky Decomposition

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

TensorLy: Tensor Learning in Python.

StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

[CVPR 2025?] Identity-Preserving Text-to-Video Generation by Frequency Decomposition

Unsupervised Speech Decomposition Via Triple Information Bottleneck

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

Tensorflow tutorial for various Deep Neural Network visualization techniques

Tidy anomaly detection

Tensor Network Learning with PyTorch

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Official Code for "SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression"

List of awesome papers on Intrinsic Decomposition & Inverse Rendering

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

A research library for pytorch-based neural network pruning, compression, and more.