There are 0 repository under sparsification topic.
Sparsity-aware deep learning inference runtime for CPUs
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Code for CRATE (Coding RAte reduction TransformEr).
A research library for pytorch-based neural network pruning, compression, and more.
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Repository to track the progress in model compression and acceleration
(Unstructured) Weight Pruning via Adaptive Sparsity Loss
TensorFlow implementation of weight and unit pruning and sparsification
Sparsify Your Flux Models
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).
TensorFlow implementation of weight and unit pruning and sparsification
A simple C++14 and CUDA-based header-only library with tools for sparse-machine learning.
An implementation and report of the twice Ramanujan graph sparsifiers.
The communication efficiency of federated learning is improved by sparsifying the parameters uploaded by the clients.