SMSR[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
NTFk.jlUnsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering
strollr2d icassp2017Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017
neural-compressorIntel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
torchpruneA research library for pytorch-based neural network pruning, compression, and more.
deep-compressionLearning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
pyowlOrdered Weighted L1 regularization for classification and regression in Python
MagniA package for AFM image reconstruction and compressed sensing in general