eliacunegatti

eliacunegatti's Stars

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.1k6195709

• VainF/Torch-Pruning

  [CVPR 2023] DepGraph: Towards Any Structural Pruning

  Language:Python2.7k37358332

• holtzy/The-Python-Graph-Gallery

  A website displaying hundreds of charts made with Python

  Language:HTML1.9k48149377

• horseee/LLM-Pruner

  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

  Language:Python8631078100

• locuslab/wanda

  A simple and effective LLM pruning approach.

  Language:Python66096287

• Zhen-Dong/Awesome-Quantization-Papers

  List of papers related to neural network quantization in recent AI conferences and journals.

  45015138

• HGX-Team/hypergraphx

  HGX is a multi-purpose, open-source Python library for higher-order network analysis

  Language:Python21342126

• hrcheng1066/awesome-pruning

  157407

• facebookresearch/graph2nn

  code for paper "Graph Structure of Neural Networks"

  Language:Jupyter Notebook15515039

• uanu2002/JSQ

  [ICML 2024] JSQ: Compressing Large Language Models by Joint Sparsification and Quantization

  Language:Python148725

• pprp/Pruner-Zero

  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs

  Language:Python71466

• NeuromorphicComputing/SoftHebb

  Language:Python677215

• luuyin/OWL

  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"

  Language:Python51388

• zyxxmu/DSnoT

  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

  Language:Python35253

• triplej0079/DeepIM

  Language:Python341513

• BaiTheBest/SparseLLM

  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)

  Language:Python32316

• DerwenAI/disparity_filter

  Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)

  Language:Python32438

• FarinaMatteo/zero

  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!

  Language:Python17211

• Picsart-AI-Research/OpenBias

  [CVPR 2024 Highlight] OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

  Language:Python17322

• FarinaMatteo/multiflow

  [CVPR '24] Official implementation of the paper "Multiflow: Shifting Towards Task-Agnostic Vision-Language Pruning".

  Language:Python16320

• romanpogodin/towards-bio-plausible-conv

  Language:Python14204

• FarinaMatteo/qmmf

  [CVPR '23 Highlight] Official repository for the paper "Quantum Multi-Model Fitting".

  Language:Python11104

• francescotonini/al-gtd

  Official repo of the paper “AL-GTD: Deep Active Learning for Gaze Target Detection” (ACMMM2024)

  9100

• sunggo/EBFT

  Code for paper "EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs"

  Language:Python8300

• VITA-Group/essential_sparsity

  [NeurIPS 2023] "The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter", Ajay Jaiswal, Shiwei Liu, Tianlong Chen, and Zhangyang Wang

  Language:Python8130

• DIOL-UniTN/hn-moea-im

  Official implementation of the paper "Influence Maximization in Hypergraph Networks using Multi-Objective Evolutionary Algorithm".

  Language:Python720

• Moreno98/GradBias

  Language:Python6100

• ndr09/NCHL

  Neuron centric Hebbian Learning

  Language:Jupyter Notebook4100

• SamsungLabs/ExpandersPruning

  This respository contains the code and experiments for the paper "Data-Free Model Pruning at Initialization via Expanders", appearing at the Efficient Deep Learning for Computer Vision CVPR Workshop, 2023. Authors: James Stewart, Umberto Michieli, and Mete Ozay.

  Language:Python4401

• ZIB-IOL/PERP

  1120