Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
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Updated
Aug 14, 2024 - Python
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.
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
Regularized estimation of high-dimensional FAVAR models
mfair: Matrix Factorization with Auxiliary Information in R
Lowrankdensity
Video Denoising using Low Rank Matrix completion
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"
Official repository for the ICASSP 2024 paper 'Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning'.
Sparse and Low-Rank Paradigm Free Mapping.
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