Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
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Updated
Mar 15, 2023 - Python
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Constrained optimization toolkit for PyTorch
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
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Voice Music Separation competing for 6th Huawei Cup in ZJU
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Regularized estimation of high-dimensional FAVAR models
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.
Sparse and Low-Rank Paradigm Free Mapping.
Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".
Nonconvex Optimization for Third Order Tensor Completion Under Wavelet Transform
C++ API for the BLAS of Tile Low-rank Matrix Algebra
Hierarchical Computations on Manycore Architectures
Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.
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