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Search results for jupyter notebook sparse
jupyter-notebook
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sparse
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69 search results found
Graph_transformer_networks
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694
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Htmpapers
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261
Numenta published papers code and data
Semantic_visual_supported_odemetry
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180
semantic visual slam for monocular and stereo camera devices
Secml
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100
A Python library for Secure and Explainable Machine Learning
Python Graphblas
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95
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Neural Structural Optimization
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82
Neural reparameterization improves structural optimization
Vahadane
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68
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Spm Image
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68
Sparse modeling and Compressive sensing in Python
Spatter
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57
Benchmark for measuring the performance of sparse and irregular memory access.
Fastreg
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50
Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
Synapses
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50
Variational Sparse Coding
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47
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
Fastai_sparse
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42
3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks
Slow_disentanglement
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42
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Dr Nmf
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38
Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation
L0.pytorch
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37
an implementation of L0 regularization with PyTorch
Sparsegrouplasso
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30
Denselidarnet
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29
Sgm
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27
Sparse Graphical Memory for Robust Planning
Zte_challenge2019_moa
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26
Some simple solutions for ZTE Challenge2019 (Model Optimization and Acceleration)
Priism
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22
PRIISM: Python Module for Radio Interferometry Imaging with Sparse Modeling
Sparse Text Prototype
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17
PyTorch Implementation of NeurIPS 2020 paper "Learning Sparse Prototypes for Text Generation"
Solvegp
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16
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
Dackgr
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16
Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"
Mfclass
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15
Multi-fidelity classification with Gaussian process
Tscl
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14
Contrastive Learning for Time Series
Dlaudio
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14
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
Cs_image_recovery_demo
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14
Recovery of images from few pixels
Tcamp Week2
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14
好未来第二周-自动评分
Gslr
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14
An algorithm for classification from a graph-sparse support
Sparsespace
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13
sparseSpACE - the Sparse Grid Spatially Adaptive Combination Environment implements different variants of the spatially adaptive combination technique.
Nexos.jl
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13
Nonconvex Exterior Point Operator Splitting
Deepymod_torch
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13
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
Patch Seq Rrr
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12
Sparse reduced-rank regression
Scdv Python
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12
Sparse Composite Document Vectors using soft clustering over distributional representations
Sparse Coding For Face Image Retrieval
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11
work in Advanced Topics in Multimedia Analysis and Indexing
Sgimc
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11
Coinblas
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11
Bitcoin blockchain graph analysis with the GraphBLAS.
Heterogp
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11
Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
Ssgp
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10
Code used in paper submitted to ICASSP 2019
Cosmictagger
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10
Cosmic Tagging Network for Neutrino Physics
Yelp Recommendation System
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10
Recommend Restaurants to User based on the ratings given by them to the restaurants
Lista
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9
Implementation of Learning Fast Approximations of Sparse Coding
Qcircuit
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9
A simple Python module to obtain energy levels of superconducting qubits by sparse Hamiltonian diagonalization
Buildsys2019 Paper Notebooks
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9
Zero Inflated Gp
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8
Implementation of Variational Zero-Inflated Gaussian Process with Sparse Kernels
Snippets
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8
code snippets with hacks and reusable components
Dap
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8
Deep model for accident risk prediction over sparse traffic data
Cdn Recsys
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8
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
K Sparse Autoencoder
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8
Sparse Auto Encoder and regular MNIST classification with mini batch's
Subspacekmeans
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7
SubspaceKMeans: Subspace k-Means
Soundscapeecology
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7
Soundscape Ecology Toolkit
Room_transfer_function_toolkit
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7
This repository contains a library for sparse representation of the room transfer function and code for localization of sound sources in a room with one microphone. Author contact information:
[email protected]
.
Ensemblepursuit
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7
Variational_sparse_coding
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6
This repository contains codes and examples implementing the variational sparse coding model
Hybrid Function Sparse Representation
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6
Hybrid function sparse representation (HFSR) for super resolution
Fast Multilevel Superpixel Segmentation
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6
Allows users to convert sparse point annotations into dense annotations both quickly and automatically.
Mp Sort
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6
Massively Parallel Histogram Sort
Crsae
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6
CRsAE (constrained recurrent sparse autoencoder)
Trex
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6
Tuning-free sparse variable selection with the TREX
Fastsparse
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6
Fastai+PyTorch implementation of sparse model training methods (SET, SNFS, RigL) + customize-your-own.
Blackhearthospitalclassifier
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6
莆田系医院名称分类器
Tsmc_dl
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6
TSMC course materials for unsupervised learning
Gl 3sr
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5
Repository to run the Fast Graph Learning for Smooth and Sparse Spectral Representation (FGL-3SR) algorithm.
Linalgml
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5
Linear Algebra for Machine Learning Book Exercises
Thyfriendmyfriend
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5
Implementation of the NIPS'17 paper titled "Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation"
Sparseportfolioselection.jl
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5
Julia implementation of the algorithm described in the paper "A scalable algorithm for sparse portfolio selection" by Bertsimas and Cory-Wright
Sdm Julia
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5
Julia implementation of Pentti Kanerva's sparse distributed memory.
Weakly Supervised Action Localization By Sparse Temporal Pooling Network
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5
Pyspiraltap
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5
Sparse Poisson Intensity Reconstruction ALgorithms
Gprn Svi
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5
Implementation for Stovhastic Variational Inference for following models :Gaussian Process Regression Netwroks (Wilson, 2011) and Sparse GPRN
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