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bob.siunn's Projects

carboncast icon carboncast

A system to predict hourly carbon intensity in the electrical grids using machine learning. CarbonCast provides average carbon intensity forecasts for up to 96 hours.

clcrec icon clcrec

Contrastive Learning for Cold-start Recommendation

cml icon cml

The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

core icon core

[SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

docker-trace icon docker-trace

An experimental system monitor based container image minifier

evcache icon evcache

A distributed in-memory data store for the cloud

influenza_transformer icon influenza_transformer

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

learn-on icon learn-on

Online Re-Learning assistant "Learn ON"'s repository

ltsf-linear icon ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

medes icon medes

Deduplication over dis-aggregated memory for Serverless Computing

opennir icon opennir

An end-to-end neural ad-hoc ranking pipeline.

openwhisk icon openwhisk

Apache OpenWhisk is an open source serverless cloud platform

skipbert icon skipbert

Code associated with the paper **SkipBERT: Efficient Inference with Shallow Layer Skipping**, at ACL 2022

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