310 Open source projects that are alternatives of or similar to Mads.jl

NASOQ:Numerically Accurate Sparsity Oriented QP Solver

A Comparative Framework for Multimodal Recommender Systems

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Function-oriented Make-like declarative workflows for R

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

🍊 👎 Add-on for Orange3 to support recommender systems.

Human-explainable AI.

A ROS package tool to analyze the IMU performance.

Vulkan compute for people

Business Intelligence (BI) in Python, OLAP

pytorch version of neural collaborative filtering

Recurrence the recommender paper with Tensorflow2.0

www.coursera.org/professional-certificates/google-data-analytics

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Object Oriented Modular Abstract Calibration Toolbox

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Privacy-Preserving Data Analysis using Pandas

A General-purpose Parallel and Heterogeneous Task Programming System

A collection of research and application papers of (uncertainty) calibration techniques.

Dremio - the missing link in modern data

Motion Based Multi-Sensor Extrinsic Calibration

Practical Data Science with Ruby based tools.

Wavelet Adaptive Block-Based solver for Interactions with Turbulence

Countly Product Analytics SDK for Cordova, Icenium and Phonegap

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

A playground to build C/C++/Go/Fortran applications on top of RustyHermit

General hand-eye calibration based on reprojection error minimization and pose graph optimization

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

A list of awesome compiler projects and papers for tensor computation and deep learning.

Measuring synchronisation timing accuracy for DVB Compainion Screen Synchronisation TVs and Companions

EnsEMBL Hive - a system for creating and running pipelines on a distributed compute resource

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

Nimfa: Nonnegative matrix factorization in Python

CUDA bindings for Ruby

A data management platform for the web, developed by Kitware

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

Example workflows for the drake R package

Measure screen size, track viewing distance and gaze, and more!

calibration for Imu and show gesture

Code for "The Box Size Confidence Bias Harms Your Object Detector" (https://arxiv.org/abs/2112.01901)

fastFM: A Library for Factorization Machines

RGB-D extrinsic parameter automatic calibration based on plane detection

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

A cross-platform, open-source library for the analysis of X-ray diffraction data.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A Python implementation of LightFM, a hybrid recommendation algorithm.

Generator of test video files for testing your media playback devices and calibrate TV sets

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Natural Series Database

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

repo with challenge material for riceteacatpanda (2020)

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.