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"
Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)
Constrained optimization toolkit for PyTorch
Repository to track the progress in model compression and acceleration
MUSCO: MUlti-Stage COmpression of neural networks
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.
Regularized estimation of high-dimensional FAVAR models
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Lowrankdensity
Voice Music Separation competing for 6th Huawei Cup in ZJU
Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
mfair: Matrix Factorization with Auxiliary Information in R
Sparse and Low-Rank Paradigm Free Mapping.
Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.
Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
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