vantienpham / Awesome-Tensor-DecompositionLinks
😎 A curated list of tensor decomposition resources for model compression.
☆84Updated last week
Alternatives and similar repositories for Awesome-Tensor-Decomposition
Users that are interested in Awesome-Tensor-Decomposition are comparing it to the libraries listed below
Sorting:
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆66Updated last year
- ☆13Updated 3 years ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆22Updated 10 months ago
- Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer☆20Updated 8 months ago
- ☆45Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 8 months ago
- ☆36Updated 3 months ago
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆47Updated last week
- ☆281Updated last year
- (NeurIPS 2024) QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation☆33Updated 11 months ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆111Updated 3 months ago
- Code to simulate energy-based analog systems and equilibrium propagation☆30Updated 6 months ago
- [NAACL 24 Oral] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models☆37Updated 9 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆253Updated last week
- ☆51Updated last year
- Collect optimizer related papers, data, repositories☆99Updated 11 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆66Updated last year
- ☆219Updated 2 years ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆15Updated 6 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆72Updated 3 months ago
- ☆61Updated 2 years ago
- Efficient tensor decomposition-based filter pruning☆18Updated 3 months ago
- Reading list for research topics in state-space models☆329Updated 4 months ago
- This repository contains low-bit quantization papers from 2020 to 2025 on top conference.☆61Updated last month
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated last year
- Official implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"☆23Updated 2 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆81Updated 6 months ago
- ☆24Updated 10 months ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆97Updated 3 years ago