sparsification topic
deepsparse
Sparsity-aware deep learning inference runtime for CPUs
sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
torchprune
A research library for pytorch-based neural network pruning, compression, and more.
model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
CRATE
Code for CRATE (Coding RAte reduction TransformEr).
kernelNet_MovieLens
SparseVLMs
[ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference" and "SparseVLM+: Visual Token Sparsification with Improved Text-Visual...