6115 results found
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning (⭐ 125)
In this work isogeometric mortaring is used for the simulation of a six pole permanent magnet synchronous machine. Isogeometric mortaring is especially well suited for the efficient computation of rotating electric machines as it allows for an exact...
Generate and format citations in APA, MLA, and Chicago styles with Grammarly's free citation machine, built by writing experts. Create bibliographies or cite in-line.
Availability of electronic resources, textual or otherwise, is a first step towards language technology research and development. This paper describes the acquisition and processing of a multi-dialectal …
through machine learning and other data-driven, computational approaches. International Society for Computational Biology List of bioinformatics institutions
Memristor crossbars are circuits capable of performing analog matrix-vector multiplications, overcoming the fundamental energy efficiency limitations of digital logic. They have been shown to be effective in special-purpose accelerators for a limited...
Fast drawing for everyone. AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast.
Clustering is a fundamental problem in statistics and machine learning. Lloyd's algorithm, proposed in 1957, is still possibly the most widely used clustering algorithm in practice due to its simplicity and empirical performance. However, there has b...
In this work, we introduce a system for real-time generation of drum sounds. This system is composed of two parts: a generative model for drum sounds together with a Max4Live plugin providing intuitive controls on the generative process. The generati...
The Bleep Drum - arduino drum machine (⭐ 88)
The advanced drum machine for Linux, macOS, and Windows (⭐ 1260)
MIDI version of Shiny Drum Machine (⭐ 359)
Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for this growth include recent legislative changes and increased investm...
In this work, a new method for designing an analog circuit for deep sub-micron CMOS fabrication processes is proposed. The proposed method leverages the regression algorithms with the transistor circuit model to size a transistor in 0.18 um technolog...
I have very limited space to work with at home and I'm trying to decide between squeezing in a folding rack or getting one of those wall-mounted smart gyms. The concept of an "all-in-one" machine see...
multi-functional, all-in-one (AIO), or multi-function device (MFD), is an office machine which incorporates the functionality of multiple devices in one, so as to
An Archimedes' screw is a hydraulic machine composing of an outer cylinder and an inner cylinder with helical blades. It can be operated both as a pump
Federated learning is a distributed optimization paradigm that allows training machine learning models across decentralized devices while keeping the data localized. The standard method, FedAvg, suffers from client drift which can hamper performance...
The DANE algorithm is an approximate Newton method popularly used for communication-efficient distributed machine learning. Reasons for the interest in DANE include scalability and versatility. Convergence of DANE, however, can be tricky; its appeali...
Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data. However, as previous methods usually focus on learning embeddings for a single network, they can no...
