sparsification
There are 23 repositories under sparsification topic.
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Ma-Lab-Berkeley/CRATE
Code for CRATE (Coding RAte reduction TransformEr).
lucaslie/torchprune
A research library for pytorch-based neural network pruning, compression, and more.
ivannz/cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
juliagusak/model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
Gumpest/SparseVLMs
Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".
fishmarch/SLAM_Map_Compression
[CVPR 2023] Efficient Map Sparsification Based on 2D and 3D Discretized Grids
georgeretsi/SparsityLoss
(Unstructured) Weight Pruning via Adaptive Sparsity Loss
mcognetta/LotteryTickets.jl
Sparsify Your Flux Models
athglentis/feather
Feather is a module that enables effective sparsification of neural networks during training. This repository accompanies the paper "Feather: An Elegant Solution to Effective DNN Sparsification" (BMVC2023).
nitarshan/neural-network-pruning-and-sparsification
TensorFlow implementation of weight and unit pruning and sparsification
HaoweiLi778/JointSQ
Simple Implementation of the CVPR 2024 Paper "JointSQ: Joint Sparsification-Quantization for Distributed Learning"
pvti/NORTON
:stars: Enhanced Network Compression Through Tensor Decompositions and Pruning
yashkim77/Neural_Network_Pruning_Sparsification
TensorFlow implementation of weight and unit pruning and sparsification
HamidrezaKmK/twice-ramanujan-sparsifiers
An implementation and report of the twice Ramanujan graph sparsifiers.
Natasha-R/Federated-Learning-Sparsification
The communication efficiency of federated learning is improved by sparsifying the parameters uploaded by the clients.
owensgroup/sparsify.me
A simple C++14 and CUDA-based header-only library with tools for sparse-machine learning.
yanismiraoui/SpaRG
Sparsely Reconstructed Graphs (SpaRG) for robust and interpretable fMRI analysis using GNNs and VAEs.
MehrdadJalali-AI/InverseLinkPredcition
Computationally characterizing Metal-Organic Frameworks (MOFs) via graph sparsification with Inverse Link Prediction using GCNs
guntas-13/CS328-SparseCommunityDetection
CS328 Introduction to Data Science - Prof. Anirban Dasgupta - Project: Sparsifying Networks while Preserving Properties