Cover Image

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Muhammad, Akhyar
Format:	Recurso digital
Published:	Zenodo 2026
Subjects:	machine-learning typescript rust napi-rs monorepo neural-networks transformers deep-learning high-performance-computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

Oxide-JS: A High-Performance Modular TypeScript ML Library with Rust Kernels
by: Muhammad, Akhyar
Published: (2026)

@akhyar11/ml-v1: A Native TypeScript Machine Learning Library
by: Muhammad, Akhyar
Published: (2026)

Dataset for "Robust Deep Learning-Based Downscaling of Mean and Extreme Precipitation over the Indian Subcontinent"
by: Murukesh, Midhun
Published: (2026)

COMPUTER VISION TECHNIQUES FOR TRAFFIC SIGN DETECTION IN ADAS APPLICATIONS
by: Taras Volodymyrovych, Kravchenko
Published: (2025)

When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
by: Joan Serrà
Published: (2019)

Journal of Intelligent Systems
Published: (2020)

Artificial Neural Networks for Classification Tasks: A Systematic Literature Review
by: Eduardo Molina Menéndez
Published: (2024)

Coverage for Character Based Neural Machine Translation
by: M. Bashir Kazimi
Published: (2017)

Journal of AI
Published: (2025)

Motif-Upcycling: Structure-Preserving Adaptation of Transformer Models
by: Lirov, Kharki
Published: (2026)

Supplementary dataset for paper: "Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling"
by: Clement, Mihaela-Larisa, et al.
Published: (2026)

An intelligent system for heart disease diagnosis using regularized deep neural network
by: P. Rani
Published: (2023)

Computational Models of Financial Price Prediction: A Survey of Neural Networks, Kernel Machines and Evolutionary Computation Approaches
by: Javier Sandoval
Published: (2011)

Soliton-Inspired Machine Learning Architectures
by: Novickis, Alexander
Published: (2026)

Soliton-Inspired Machine Learning Architectures
by: Novickis, Alexander
Published: (2026)

Anaemia detection from conjunctiva images using deep learning
by: S Janardhan Jayanth, et al.
Published: (2025)

Jurnal Ilmu Komputer dan Informasi
Published: (2017)

Enhanced Image Security Using Classification in Adversarial Machine Learning with aes Based Grey wolf Algorithm
by: Jahan, Tasneem, et al.
Published: (2025)

Tool Spec TypeScript template
by: Mälicke, Mirko
Published: (2026)

A systematic review of machine learning-enhanced metaheuristics for solving capacitated vehicle routing problems
by: Mauricio Maca-Chagüendo
Published: (2024)

The Infinite Model
by: Hobe-Gelting, Victor, et al.
Published: (2026)

Neural Networks Based Domain Adaptation in Spectroscopic Sky Surveys
by: Podsztavek, Ondřej
Published: (2020)

International Journal of Computational Intelligence Systems
Published: (2017)

Nowcasting Economic Activity with Electronic Payments Data: A Predictive Modeling Approach
by: Carlos León
Published: (2018)

Neural Networks and Political Science: Testing the Methodological Frontiers
by: Lukasz Wordliczek
Published: (2023)

MODELLING TOURISM DEMAND TO SPAIN WITH MACHINE LEARNING TECHNIQUES. THE IMPACT OF FORECAST HORIZON ON MODEL SELECTION
by: OSCAR CLAVERIA
Published: (2016)

STACK TYPE DETECTION USING FEW-SHOT LEARNING
by: Lin, Henry
Published: (2022)

Self-Supervised Learning as Constrained Free-Energy Systems
by: Kemple, Kurtis
Published: (2026)

Emergence Without Scale: Inductive Resonance and Invariant Dynamics in Tiny Recurrent Networks
by: Giebelhaus, M. Axel
Published: (2025)

Robust Sensor Fusion for Autonomous Navigation in Dynamically Changing Environments
by: Liam O'Connor
Published: (2026)

A Proximal Gradient Framework for Optimization Under Uncertainty with Applications to Sparse Data Representation
by: Jordan Smith
Published: (2026)

Addressing Exploration Challenges in Sparse Reward Reinforcement Learning Environments via Intrinsic Curiosity Modules and Reward Shaping
by: Elena Rossi
Published: (2026)

Scalable and Efficient Distributed Training of Deep Learning Models via Hybrid Parallelism
by: Yuki Tanaka
Published: (2026)