Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Constrained optimization toolkit for PyTorch

Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

Repository to track the progress in model compression and acceleration

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

MUSCO: MUlti-Stage COmpression of neural networks

This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access

Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"

Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"

Voice Music Separation competing for 6th Huawei Cup in ZJU

mfair: Matrix Factorization with Auxiliary Information in R

Regularized estimation of high-dimensional FAVAR models

Video Denoising using Low Rank Matrix completion

Lowrankdensity

Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.

Python code for "Deep Unfolding Tensor Rank Minimization with Generalized Detail Injection for Pansharpening"

Sparse and Low-Rank Paradigm Free Mapping.