Learning multilingual, multi-domain neural language models
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Updated
Jan 8, 2018 - Python
Learning multilingual, multi-domain neural language models
Example for a reverse multi-domain proxy using nginx and docker
poste-sdk is a Python client library to work with poste.io API
Lightweight link shrinker web application. Written for NodeJS 8.9.4/ES6
Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.
Same codebase for multiple domain support (different database and configuration for each domain)
Use Livewire in a multidomain environment
Official code of XB-MAML implemented in pytorch
Scope your application's data by (sub-)domain.
Synchronous collaborative multi-domain toolkit using Firebase Realtime Database
undergraduate thesis-based project
Implements routing configuration via a file and folder based route structure, domain structure including a dev name (eg staging), and the ability to apply middleware using the route file name.
Pytorch implementation of "Multi-domain translation between single-cell imaging and sequencing data using autoencoders" (https://www.nature.com/articles/s41467-020-20249-2) with custom models.
Budget-Aware Adapters for Multi-Domain Learning (ICCV 2019)
Main repository of FROG v.4, a cloud/NFV orchestrator supporting heterogeneous infrastructure domains
Multi-domain NMT with token-level mixing model
Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023
Generate self signed ssl certificates with your own root CA certificate
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