Alternatives and similar repositories for CORING

Users that are interested in CORING are comparing it to the libraries listed below

• vantienpham / Awesome-Tensor-Decomposition
  😎 A curated list of tensor decomposition resources for model compression.
  ☆81Updated this week
• erfanhatefi / Pruning-by-eXplaining-in-PyTorch
  Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…
  ☆29Updated 8 months ago
• ghimiredhikura / Awasome-Pruning
  Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
  ☆170Updated last year
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆23Updated 6 months ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆31Updated last year
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆34Updated 10 months ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆27Updated last year
• shawnricecake / search-llm
  [NeurIPS 2024] Search for Efficient LLMs
  ☆15Updated 8 months ago
• yaozhewei / HAP
  ☆43Updated last year
• NVlabs / NViT
  ☆22Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆34Updated 10 months ago
• MingSun-Tse / Awesome-Pruning-at-Initialization
  [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
  ☆59Updated last year
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated 2 years ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆18Updated 9 months ago
• TanayNarshana / DFPC-Pruning
  [ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.
  ☆14Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated last week
• VascoLopes / EPE-NAS
  ☆26Updated 3 years ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆34Updated 2 years ago
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆68Updated last month
• zyxxmu / White-Box
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
  ☆18Updated 3 years ago
• devansh20la / LPF-SGD
  ☆17Updated 2 years ago
• haiquanlu / AlphaPruning
  [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  ☆27Updated 3 months ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆34Updated last year
• tinyvision / PreNAS
  The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
  ☆30Updated 2 years ago
• zqOuO / GWT
  ☆13Updated 8 months ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆46Updated 11 months ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆20Updated 2 years ago
• ScalingIntelligence / CATS
  ☆29Updated 10 months ago
• theyoungkwon / TinyTrain
  The official implementation of TinyTrain [ICML '24]
  ☆22Updated last year
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆51Updated last year