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.
Framework for learning multi-domain image embeddings suitable for multi-domain image retrieval at instance-level
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
Same codebase for multiple domain support (different database and configuration for each domain)
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
Fast, simple and scalable multi-domain reverse proxy with Let's Encrypt SSL certificates
Multi-domain NMT with token-level mixing model
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