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38 search results found

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Bigdata18 ⭐ 230

Transfer learning for time series classification

Datagene ⭐ 170

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Cloud Volume ⭐ 120

Read and write Neuroglancer datasets programmatically.

Probabilistic Matrix Factorization ⭐ 92

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

Activepathways ⭐ 77

Integrative pathway enrichment analysis of multivariate omics data

Recsys2019 ⭐ 60

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Seattle Loop Data ⭐ 47

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018

Scrnaseq_cell_cluster_labeling ⭐ 33

Scripts to run and benchmark scRNA-seq cell cluster labeling methods

H5sparse ⭐ 32

Scipy sparse matrix in HDF5

Compmirrors ⭐ 32

Jam_forecaster ⭐ 31

Edge-Based Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Code Release for CVPR 2020, "ACNe: Attentive Context Normalizationfor Robust Permutation-Equivariant Learning"

Integrative orthogonal non-negative matrix factorization

Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"

Hdbscansharp ⭐ 21

Helmsman ⭐ 19

highly-efficient & lightweight mutation signature matrix aggregation

Dblp Linkanalysis ⭐ 17

Analyze and search a dataset of academic paper citation relationships from the DBLP Computer Science Bibliography.

An R package extends R to process tera-scale datasets in parallel and out of core automatically.

Ecospold2matrix ⭐ 13

Class for recasting Ecospold2 LCA dataset into Leontief matrix representations or Supply and Use Tables

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

A graphical EDA tool

Cartograflow ⭐ 13

Tips and tricks for flow and movement mapping

A Go library for working with rows, columns, or matrix (deprecated, see https://github.com/shuLhan/share/tree/master/lib/t

Rotationforest ⭐ 12

Implementation of the Rotation Forest by Rodriques et al. 2006

Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions

Imagej Matlab ⭐ 10

MATLAB integration with ImageJ data structures and runtime.

Python code for "Bayesian hybrid matrix factorisation for data integration", published at 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017).

St_analysis ⭐ 8

A toolset for analysis and visualisation of Spatial Transcriptomics datasets.

Tanalysis ⭐ 7

A python 2.7+ and 3.4+ package for matrix product state decompositions in a data science context

Cross_svm ⭐ 7

faster and simpler version of SVM learning software libsvm

Emoji Learn ⭐ 7

A machine learning library for the 21st 🅱️entury

Human embryonic cell altas

Socialmediacomputing ⭐ 7

Including several social-media-computing tools.

Matrix Capsnet Em Routing Tensorflow ⭐ 6

This is a trial implementation of Hinton group's [MATRIX CAPSULES WITH EM ROUTING](https://openreview.net/pdf?id=HJWLfGWRb) in TensorFlow and Python programming language. （仅供交流学习使用）

Repository for Code and Dataset associated to the paper "Uncertainty Estimation for Data-driven Visual Odometry"

Pelican_dataset ⭐ 6

Pelican Quadrotor Dataset

Probabilistic Matrix Factorization on MovieLens 100K

Truncated Cauchy Non Negative Matrix Factorization ⭐ 6

Non-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it fails when applied to corrupted data because the loss function is sensitive to outliers. In this paper, we propose a Truncated CauchyNMF loss that handle outliers by truncating large errors, and develop a Truncated CauchyNMF to robustly learn the subspace on noisy datasets contaminated by outliers. We theoretically analyze the robustness of Truncated CauchyNMF c

Message_passing_graph_kernels ⭐ 6

Python implementation of Bayesian Probabilistic matrix Factorization algorithm.

Human Activity Recognition Smartphone Sensors ⭐ 5

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

Dataset Tools ⭐ 5

Easy to use library for working with core.matrix datasets in Clojure: select, where, aggregate, join, order, cross-tab, from/to-dataset, etc

Eit Cdae Algorithm ⭐ 5

Open Seoul Subway ⭐ 5

A refined set of Seoul subway data

Pykit Learn ⭐ 5

Scikit-Learn GUI

Sparse Matrix Vector Multiplication ⭐ 5

SpMV using CUDA

Scenic Nf ⭐ 5

DEPRECATED | pySCENIC pipeline implemented in Nextflow using containers

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