A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Trainable models and NN optimization tools

Network Slimming (Pytorch) (ICCV 2017)

Caffe for Sparse and Low-rank Deep Neural Networks

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Caffe for Sparse Convolutional Neural Network

Sparse and structured neural attention mechanisms

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Sparse Optimisation Research Code

Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)

OpenVINO Training Extensions Object Detection

Ordered Weighted L1 regularization for classification and regression in Python

Soft Threshold Weight Reparameterization for Learnable Sparsity

A package for AFM image reconstruction and compressed sensing in general

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

A Library for Denoising Single-Cell Data with Random Matrix Theory

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Implementation of the sparse icp algorithm

Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features

An algorithm for classification from a graph-sparse support

MoMA: Modern Multivariate Analysis in R

A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering

"The Unreasonable Effectiveness of Sparse Dynamic Synapses for Continual Learning" paper project.

Finding Storage- and Compute-Efficient Convolutional Neural Networks

Structured clustering for memristive crossbar based neuromorphic architectures

Repository holding various implementation of specific NMF methods for speaker diarization

NeurIPS 2019 MicroNet Challenge

Sparsity-assisted wavelet denoising for gait cycle validation and segmentation using inertial sensors.