Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
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Dec 17, 2024 - Python
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low-rank
Here are 32 public repositories matching this topic...
Constrained optimization toolkit for PyTorch
pytorch constrained-optimization invertible-neural-networks positive-definite-matrices manifold-optimization low-rank positive-semi-definite orthogonality
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Mar 1, 2022 - Python
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
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Jul 17, 2024 - Python
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
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Oct 30, 2024 - Python
Repository to track the progress in model compression and acceleration
acceleration compression neural-network pruning knowledge-distillation tensor-decomposition architecture-search low-rank sparsification
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Jun 19, 2021
Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)
computational-imaging compressive-sensing hyperspectral-imaging low-rank coded-aperture rank-minimization high-speed-imaging snapshot-compressive-imaging
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Apr 3, 2020 - MATLAB
MUSCO: MUlti-Stage COmpression of neural networks
deep-neural-networks pytorch tensor-decomposition cp-decomposition tucker model-compression network-acceleration model-acceleration truncated-svd network-compression low-rank vbmf
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Feb 16, 2021 - Jupyter Notebook
This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.
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Jun 17, 2023 - Python
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
reinforcement-learning deep-reinforcement-learning planning controls matrix-completion value-iteration value-function iclr low-rank iclr2020
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Feb 1, 2020 - Python
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
cnn pytorch bayesopt convolutional-neural-networks bayesian-optimization tensorly tucker model-compression cnn-compression network-acceleration rank-selection model-acceleration neural-network-compression gpyopt low-rank network-compression-acceleration
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Mar 21, 2021 - Python
Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"
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Aug 5, 2024 - MATLAB
Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"
attention-mechanism fast-inference sparse-neural-networks low-rank vision-transformer efficient-transformers sparse-attention efficient-vision-transformers
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Jul 4, 2023 - Python
Voice Music Separation competing for 6th Huawei Cup in ZJU
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Jun 2, 2015 - Python
mfair: Matrix Factorization with Auxiliary Information in R
r matrix-factorization expectation-maximization-algorithm variational-inference matrix-completion gradient-boosting low-rank empirical-bayes
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Feb 1, 2024 - R
Regularized estimation of high-dimensional FAVAR models
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Feb 10, 2024 - R
Video Denoising using Low Rank Matrix completion
pca svd denoising svt video-denoising low-rank gaussian-noise low-rank-matrix-recovery poisson-noise bm3d adaptive-median-filter vbm3d patch-matching impulsive-noise
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May 14, 2021 - MATLAB
Lowrankdensity
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Nov 21, 2023 - Python
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
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Oct 19, 2022 - Jupyter Notebook
Python code for "Deep Unfolding Tensor Rank Minimization with Generalized Detail Injection for Pansharpening"
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Aug 25, 2024 - MATLAB
Python code and data for "Attention-Guided Low-Rank Tensor Completion"
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Nov 16, 2024 - Python
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