low-rank-approximation topic

Caffe for Sparse and Low-rank Deep Neural Networks

wenwei202

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

lixilinx

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

vortex-exoplanet

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

csjunxu

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...

je-suis-tm

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019

ofsoundof

[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)

twinkle0331

LoRA (Low-Rank Adaptation) inspector for Stable Diffusion

rockerBOO

Fine-tuning of diffusion models

brian6091

HiCMA: Hierarchical Computations on Manycore Architectures

ecrc