Vector Institute Reference Implementation Catalog¶
Welcome to the Vector Institute Reference Implementation Catalog! The catalog is a curated collection of high quality implementations developed by researchers and engineers at the Vector Institute. This catalog provides access to repositories that demonstrate state-of-the-art techniques across a wide range of AI domains.
Browse Implementations by Year¶
RAG
2024This repository contains demos for various Retrieval Augmented Generation techniques using different libraries.
This repository contains demos for finetuning techniques for LLMs focussed on reducing computational cost.
This repository contains demos for various Prompt Engineering techniques, along with examples for Bias quantification, text classification.
This repository contains code for the paper [Can Machine Unlearning Reduce Social Bias in Language Models?][bmu-paper] which was published at EMNLP'24 in the Industry track.
Authors are Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak.
cyclops-workshop
2024This repository contains demos for using [CyclOps] package for clinical ML evaluation and monitoring.
odyssey
2024This is a library created with research done for the paper [EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records][odyssey-paper] published at ArXiv'24.
Authors are Adibvafa Fallahpour, Mahshid Alinoori, Wenqian Ye, Xu Cao, Arash Afkanpour, Amrit Krishnan.
This repository contains demos for various diffusion models for tabular and time series data.
News Media Bias
2024This repository contains code for libraries and experiments to recognise and evaluate bias and fakeness within news media articles via LLMs.
News Media Bias Plus
2024Continuation of News Media Bias project, this repository contains code for libraries and experiments to collect and annotate data, recognise and evaluate bias and fakeness within news media articles via LLMs and LVMs.
This repository contains demos for various supervised and unsupervised anomaly detection techniques in domains such as Fraud Detection, Network Intrusion Detection, System Monitoring and image, Video Analysis.
SSL Bootcamp
2023This repository contains demos for self-supervised techniques such as contrastive learning, masked modeling and self distillation.
Causal Inference Lab
2023This repository contains code to estimate the causal effects of an intervention on some measurable outcome primarily in the health domain.
HV-Ai-C
2023This repository implements a Reinforcement Learning agent to optimize energy consumption within Data Centers.
Flex Model
2023This repository contains code for the paper [FlexModel: A Framework for Interpretability of Distributed Large Language Models][flex-model-paper].
Authors are Matthew Choi, Muhammad Adil Asif, John Willes, David Emerson.
VBLL
2023This repository contains code for the paper [Variational Bayesian Last Layers][vbll-paper].
Authors are James Harrison, John Willes, Jasper Snoek.
This repository contains demos for various RecSys techniques such as Collaborative Filtering, Knowledge Graph, RL based, Sequence Aware, Session based etc.
This repository contains demos for a variety of forecasting techniques for Univariate and Multivariate time series, spatiotemporal forecasting etc.
Prompt Engineering
2022This repository contains demos for a variety of Prompt Engineering techniques such as fairness measurement via sentiment analysis, finetuning, prompt tuning, prompt ensembling etc.
NAA
2022This repository contains code for the paper [Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support][naa-paper] published at EMNLP'22 in the industry track.
Authors are Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja Kalaiselvi Bhaskar.
This repository contains demos for Privacy, Homomorphic Encryption, Horizontal and Vertical Federated Learning, MIA, and PATE.
SSGVQAP
2021This repository contains code for the paper [A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature][ssgvap-paper] which was accepted in ACL'20.
Authors are Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi.
This repository replicates the experiments described on pages 16 and 17 of the [2022 Edition of Canada's Food Price Report][fpf-paper].
This repository tackles different problems such as defect detection, footprint extraction, road obstacle detection, traffic incident detection, and segmentation of medical procedures.