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sparsity

Here are 50 public repositories matching this topic...

tensorflow / model-optimization

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Make Model Optimization Project Contributor Friendly

4

alanchiao commented Oct 21, 2019

Master tracker issue for this.

At the minimum:

we need to finish the first bullet point for infrastructure for open source.

Basic Doc for Contributors

Pathway for recommending and contributing techniques (see this doc - initial version in [PR](https://github.com/tensorflow/model-optimization/pull

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feature request technique:all

opencv / openvino_training_extensions

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Trainable models and NN optimization tools

sparsity computer-vision deep-learning tensorflow detection pytorch text-recognition ssd segmentation face-recognition text-detection quantization super-resolution openvino neural-networks-compression

Updated Jun 26, 2020
Python

Eric-mingjie / network-slimming

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Network Slimming (Pytorch) (ICCV 2017)

sparsity deep-learning pytorch convolutional-neural-networks channel-pruning

Updated Nov 18, 2018
Python

wenwei202 / caffe

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Caffe for Sparse and Low-rank Deep Neural Networks

deep-neural-networks sparsity acceleration compression caffe low-rank-approximation sparse-convolution

Updated Mar 8, 2020
C++

IntelLabs / SkimCaffe

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Caffe for Sparse Convolutional Neural Network

sparsity caffe intel convolution pruning winograd

Updated Apr 2, 2018
C++

vene / sparse-structured-attention

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Sparse and structured neural attention mechanisms

deep-neural-networks sparsity deep-learning sparse segmentation deeplearning attention-mechanism fused-lasso attention-mechanisms

Updated Jun 18, 2019
Python

dcmocanu / sparse-evolutionary-artificial-neural-networks

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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).

deep-neural-networks sparsity deep-learning scalability randomization neuroevolution deep-learning-algorithms classification evolutionary-algorithms artificial-neural-networks restricted-boltzmann-machine complex-networks deep-learning-papers multi-layer-perceptron generative-models sparse-neural-networks scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity

Updated May 19, 2020
Python

bwohlberg / sporco

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Sparse Optimisation Research Code

python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors

Updated Jun 1, 2020
Python

mehtadushy / SelecSLS-Pytorch

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Reference ImageNet implementation of SelecSLS CNN architecture proposed in "XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera". Also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods.

sparsity deep-learning efficient cnn pytorch imagenet pruning pytorch-implementation cvpr2019 efficient-architectures

Updated Dec 30, 2019
Python

wenwei202 / iss-rnns

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Sparse RNNs -- Learning Connections and Hidden Sizes (TensorFlow)

sparsity tensorflow structure recurrent-neural-networks lstm iclr model-compression sparse-lstms

Updated Jan 22, 2019
Python

openvinotoolkit / nncf_pytorch

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PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

nlp sparsity compression transformers classification pruning object-detection quantization semantic-segmentation bert hawq mmdetection mixed-precision-training quantization-aware-training

Updated Jun 26, 2020
Python

vene / pyowl

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Ordered Weighted L1 regularization for classification and regression in Python

machine-learning sparsity regression classification regularization

Updated Aug 27, 2018
Python

SIP-AAU / Magni

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A package for AFM image reconstruction and compressed sensing in general

python sparsity compressed-sensing image-reconstruction afm

Updated Jan 31, 2019
Python

astorfi / attention-guided-sparsity

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Attention-Based Guided Structured Sparsity of Deep Neural Networks

sparsity deep-learning convolutional-neural-networks attention-mechanism

Updated Mar 22, 2020
Python

wenbihan / strollr2d_icassp2017

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

sparsity unsupervised-learning self-similarity image-denoising joint-models lowrankdenoising transform-learning state-of-the-art

Updated Jan 13, 2018
MATLAB

TensorDecompositions / NTFk.jl

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

machine-learning sparsity feature-extraction unsupervised-learning kmeans-clustering tensor-decomposition cp-decomposition blind-source-separation tensor-networks hosvd tucker-decomposition

Updated Jun 22, 2020
Julia

RabadanLab / randomly

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

sparsity dropout data-analysis single-cell denoising single-cell-rna-seq random-matrix-theory single-cell-analysis single-cell-omics

Updated Nov 5, 2018
Jupyter Notebook

fraenkel-lab / GSLR

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An algorithm for classification from a graph-sparse support

sparsity graph classification logistic-regression structured-sparsity

Updated Jan 30, 2019
Jupyter Notebook

RAIVNLab / STR

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Soft Threshold Weight Reparameterization for Learnable Sparsity

sparsity cnn imagenet str icml efficient-inference soft-thresholding edge-machine-learning sparsity-optimization resource-efficient icml-2020 learnable-sparsity icml2020 soft-threshold-reparameterization

Updated Jun 25, 2020
Python

phuselab / SSLD-face_recognition

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

sparsity paper face-recognition dcnn single-sample

Updated Jan 9, 2020
Python

palanglois / icpSparse

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Implementation of the sparse icp algorithm

algorithm sparsity point-cloud registration

Updated Jan 12, 2018
C++

soran-ghadri / NUSCCF

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

python machine-learning algorithm sparsity clustering similarity collaborative-filtering tree-structure recommender-system pearson movielens subspace subspace-clustering high-dimensionality neighbor-users nusccf

Updated Jan 10, 2020
Python

DataSlingers / MoMA

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LDA Example Data: Rockhoppers

michaelweylandt commented Aug 22, 2019

The iris data for LDA / classification is overused and typically mis-applied [1].

Let's use a new data set for our LDA examples and include it in the package. Steinfurth et al. have a paper on classifying penguins by sex using various body measurements [2] which seems like it would make a great example.

Idea from [3]; see also [4-5].

[1] http://www.dicook.org/files/jsm19/slides#1

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Documentation

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Portably Render MoMA Problem in README

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Citation File

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mmxgn / smooth-convex-kl-nmf

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Repository holding various implementation of specific NMF methods for speaker diarization

sparsity nmf speaker-diarization smoothness nonnegative-matrix-factorization

Updated Feb 2, 2018
Python

vlomonaco / sparse-dynamic-synapses

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

sparsity deep-learning artificial-intelligence lifelong-learning continual-learning neuroscience-inspired-ai

Updated Dec 5, 2019
Python

corenbialik / gols

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Generalized Orthogonal Least-Squares in CUDA

sparsity cuda cublas feature-selection least-squares sparse-regression

Updated Apr 21, 2018
Cuda

Aayush-Ankit / traNNsformers

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Structured clustering for memristive crossbar based neuromorphic architectures

sparsity deep-learning memristor neuromorphic-computing memristive-crossbar

Updated Oct 21, 2019
MATLAB

ash-shar / CMAP

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Repository containing Parameter Inference and Posterior Computation codes of CMAP

sparsity behavior-analysis probabilistic-generative-model skew user-representation chinese-restaurant-process interactive-media-platforms

Updated Nov 22, 2018
C++

neurips-2019-micronet-challenge

d-becking / neurips-2019-micronet-challenge

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NeurIPS 2019 MicroNet Challenge

sparsity neural-network pytorch quantization entropy-coding neural-architecture-search efficient-inference sparsity-optimization quantization-algorithms efficient-neural-networks micronet-challenge compound-scaling ec2t

Updated Jun 16, 2020
Python

DataSlingers / ExclusiveLasso

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Skip RNG Set Up

michaelweylandt commented Jul 3, 2019

By default, Rcpp transfers the RNG state to and from R when calling into C++. This is a little bit expensive and not necessary for us since we don't use RNGs in C++.

If we change our C++ attributes to // [[Rcpp::export(rng = false)]], things will be a smidge faster. (I'd imagine this is still dwarfed by compute time, but it can't hurt.)

See example at https://github.com/tidyverse/dplyr/b

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