Remove ones that are not from our team

Author: amrit110

README.md

@@ -23,22 +23,17 @@ This catalog is a collection of repositories for various Machine Learning techni
 | [Anomaly Detection Project][anomaly-repo] | 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. | AMNet, GCN, SAGE, OCGNN, DON, AdONE, MLP, FTTransformer, DeepSAD, XGBoost, CBLOF, CFA for Target-Oriented Anomaly Localization, Draem for surface anomaly detection, Logistic Regression, CATBoost, Random Forest, Diversity Measurable Anomaly Detection, Two-stream I3D Convolutional Network, DeepCNN, LightGBM, Isolation Forest, TabNet, AutoEncoder, Internal Contrastive Learning | 5 | [On Vector Cluster][cluster-anomaly] | 2023 |
 | [SSL Bootcamp][ssl-repo] | This repository contains demos for self-supervised techniques such as contrastive learning, masked modeling and self distillation. | Internal Contrastive Learning, LatentOD-AD, TabRet, SimMTM, Data2Vec | 52 | [Beijing Air Quality][baq-ssl], [BRFSS][brfss-ssl], [Stroke Prediction][stroke-ssl], [STL10][stl-10-ssl], [Link1][Link1-ssl], [Link2][Link2-ssl] | 2023 |
 | [Causal Inference Lab][ci-lab-repo] | This repository contains code to estimate the causal effects of an intervention on some measurable outcome primarily in the health domain. | Naive ATE, TARNet, DragonNet, Double Machine Learning, T Learner, S Learner, Inverse Propensity based Learner, PEHE, MAE | 5 | [Infant Health and Development Program][IHDP], [Jobs], [Twins], [Berkeley admission], [Government Census], [Compas] | 2023 |
-| [VariationalNeuralAnnealing][vna-repo] | This repository contains code for the paper [Variational neural annealing][vna-paper]. <br> Authors are Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko & Juan Carrasquilla. | Variational neural annealing, Variational Classical Annealing (VCA), Variational Quantum Annealing, Regularized VQA, Classical-Quantum Optimization | 2 | [Edwards-Anderson][EA], [Sherrington-Kirkpatrick][SK] | 2023 |
 | [HV-Ai-C][hvaic-repo] | This repository implements a Reinforcement Learning agent to optimize energy consumption within Data Centers. | RL agents performing Random action, Fixed action, Q Learning, Hyperspace Neighbor Penetration | - | <em>No public datasets available</em> | 2023 |
 | [Flex Model][flex-model-repo] | This repository contains code for the paper [FlexModel: A Framework for Interpretability of Distributed Large Language Models][flex-model-paper]. <br> Authors are Matthew Choi, Muhammad Adil Asif, John Willes, David Emerson. | Distributed Interpretability | - | <em>No public datasets available</em> | 2023 |
 | [VBLL][vbll-repo] | This repository contains code for the paper [Variational Bayesian Last Layers][vbll-paper]. <br> Authors are James Harrison, John Willes, Jasper Snoek. | Variational Bayesian Last Layers | 2 | [MNIST], [FashionMNIST] | 2023 |
 | [Recommendation Systems][recsys-repo] | This repository contains demos for various RecSys techniques such as Collaborative Filtering, Knowledge Graph, RL based, Sequence Aware, Session based etc. | SVD++, NeuMF, Plot based, Two tower, SVD, KG based, SlateQ, BST, Simple Association Rules, first-order Markov Chains, Sequential Rules, RNN, Neural Attentive Session, BERT4rec, A2SVDModel, SLi-Rec | 7 | [Amazon-recsys], [careervillage], [movielens-recsys], [tmdb], [LastFM], [yoochoose] | 2022 |
 | [Forecasting with Deep Learning][forecasting-dl-repo] | This repository contains demos for a variety of forecasting techniques for Univariate and Multivariate time series, spatiotemporal forecasting etc. | Exponential Smoothing, Persistence Forecasting, Mean Window Forecast, Prophet, Neuralphophet, NBeats, DeepAR, Autoformer, DLinear, NHITS | 11 | [Canadian Weather Station Data], [BoC Exchange rate], [Electricity Consumption], [Road Traffic Occupancy], [Influenza-Like Illness Patient Ratios], [Walmart M5 Retail Product Sales], [WeatherBench], [Grocery Store Sales], [Economic Data with Food CPI] | 2022 |
 | [Prompt Engineering][pe-repo] | This repository contains demos for a variety of Prompt Engineering techniques such as fairness measurement via sentiment analysis, finetuning, prompt tuning, prompt ensembling etc. | Bias Quantification & Probing, Stereotypical Bias Analysis, Binary sentiment analysis task, Finetuning using HF Library, Gradient-Search for Instruction Prefix, GRIPS for Instruction Prefix, LLM Summarization, LLM Classification | 10 | [Crow-pairs], [sst5], [cnn_dailymail], [ag_news], [Tweet-data], [Other] | 2022 |
-| [ABSA][absa-repo] | This repository contains code for the paper [Open Aspect Target Sentiment Classification with Natural Language Prompts][absa-paper]. <br> Authors are Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough. | Zero-shot inference for sentiment using PLM and openprompt, Few-shot inference for sentiment using PLM, Zero-shot ATSC with Prompts using BERT and OPT, Zero-shot inference of aspect term and generate sentiment polarity using NLTK pipeline | 4 | [Link][Link-absa] | 2022 |
 | [NAA][naa-repo] | This 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. <br> 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. | Context Retrieval using SBERT bi-encoder, Context Retrieval using SBERT cross-encoder, Intent identification using BERT, Few Shot Multi-Class Text Classification with BERT, Multi-Class Text Classification with BERT, Response generation via GPT2 | 5 | [ELI5], [MSMARCO] | 2022 |
 | [Privacy Enhancing Technologies][pet-repo] | This repository contains demos for Privacy, Homomorphic Encryption, Horizontal and Vertical Federated Learning, MIA, and PATE. | Vanilla SGD, DP SGD, DP Logistic Regression, Homomorphic Encryption for MLP, Horizontal FL, Horizontal FL on MLP, Membership Inference Attacks (MIA) using DP, MIA using SAM, PATE, Vertical FL | 9 | [Heart Disease], [Credit Card Fraud], [Breaset Cancer Data], [TCGA], [CIFAR10][cifar10-pet], [Home Credit Default Risk], [Yelp], [Airbnb] | 2021 |
 | [SSGVQAP][ssgvap-repo] | This 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. <br> Authors are Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi. | An Active Learning Strategy for Data Selection, AL-Uncertainty, AL-Clustering | 1 | [CORD-19] | 2021 |
-| [NeuralKernelBandits][nkb-repo] | This repository contains code for the paper [An Empirical Study of Neural Kernel Bandits][nkb-paper] which was accepted in NeurIPS'21. <br> Authors are Lisicki, Michal, Arash Afkanpour, and Graham W. Taylor. | Neural tangent kernel, Conjugate kernel, NNGP, Deep ensembles, Randomized Priors, NTKGP, Upper Confidence Bounds (UCB), Thompson Sampling (TS) | 7 | [Mushroom], [Statlog], [Adult][adult-nkb], [US Census 1990], [Covertype] | 2021 |
 | [foodprice-forecasting][fpf-repo] | This repository replicates the experiments described on pages 16 and 17 of the [2022 Edition of Canada's Food Price Report][fpf-paper]. | Time series forecasting using Prophet, Time series forecasting using Neural prophet, Interpretable time series forecasting using N-BEATS, Ensemble of the above methods | 3 | [FRED Economic Data] | 2021 |
 | [Computer_Vision_Project][cvp-repo] | This repository tackles different problems such as defect detection, footprint extraction, road obstacle detection, traffic incident detection, and segmentation of medical procedures. | Semantic segmentation using Unet, Unet++, FCN, DeepLabv3, Anomaly segmentation | 11 | [SpaceNet Building Detection V2], [MVTEC], [ICDAR2015], [PASCAL_VOC], [DOTA], [AVA], [UCF101-24], [J-HMDB-21] | 2020 |
-| [gram-ood-detection][god-repo] | This repository contains code for the paper [Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices][god-paper] which was accepted at ICML'20. <br> Authors are Chandramouli Shama Sastry, Sageev Oore. | OOD detection using Gram matrices | 7 | [CIFAR10], [CIFAR100], [SVHN] | 2019 |
-| [laftr][lafter-repo] | This repository contains code for the paper [Learning Adversarially Fair and Transferable Representations][laftr-paper] which was accepted at PMLR'18. <br> Authors are David Madras, Elliot Creager, Toniann Pitassi and Richard Zemel. | laftr | 1 | [Adult] | 2018 |
 
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@@ -48,23 +43,18 @@ This catalog is a collection of repositories for various Machine Learning techni
 
 
 [//]: # (Reference links for Github repositories)
-[lafter-repo]: https://github.com/VectorInstitute/laftr
-[god-repo]: https://github.com/VectorInstitute/gram-ood-detection
 [cvp-repo]: https://github.com/VectorInstitute/Computer_Vision_Project
 [pet-repo]: https://github.com/VectorInstitute/PETs-Bootcamp
 [ssgvap-repo]: https://github.com/VectorInstitute/SSGVQAP
-[nkb-repo]: https://github.com/VectorInstitute/NeuralKernelBandits
 [fpf-repo]: https://github.com/VectorInstitute/foodprice-forecasting
 [recsys-repo]: https://github.com/VectorInstitute/recommender_systems_project
 [forecasting-dl-repo]: https://github.com/VectorInstitute/forecasting-with-dl
 [pe-repo]: https://github.com/VectorInstitute/PromptEngineering
 [fastgan-repo]: https://github.com/VectorInstitute/FastGAN-pytorch
-[absa-repo]: https://github.com/VectorInstitute/ABSA
 [naa-repo]: https://github.com/VectorInstitute/NAA
 [anomaly-repo]: https://github.com/VectorInstitute/anomaly-detection-project
 [ssl-repo]: https://github.com/VectorInstitute/SSL-Bootcamp
 [ci-lab-repo]: https://github.com/VectorInstitute/Causal_Inference_Laboratory
-[vna-repo]: https://github.com/VectorInstitute/VariationalNeuralAnnealing
 [covid-repo]: https://github.com/VectorInstitute/ProjectLongCovid-NER
 [hvaic-repo]: https://github.com/VectorInstitute/HV-Ai-C
 [flex-model-repo]: https://github.com/VectorInstitute/flex_model
@@ -81,14 +71,9 @@ This catalog is a collection of repositories for various Machine Learning techni
 [nmb-plus-repo]: https://github.com/VectorInstitute/news-media-bias-plus
 
 [//]: # (Reference links for Research papers)
-[laftr-paper]: https://arxiv.org/abs/1802.06309
-[god-paper]: http://proceedings.mlr.press/v119/sastry20a.html
 [ssgvap-paper]: https://aclanthology.org/2020.sdp-1.4/
-[nkb-paper]: https://arxiv.org/abs/2111.03543
 [fpf-paper]: https://www.dal.ca/sites/agri-food/research/canada-s-food-price-report-2022.html
-[absa-paper]: https://aclanthology.org/2021.emnlp-main.509/
 [naa-paper]: https://aclanthology.org/2022.emnlp-industry.44/
-[vna-paper]: https://www.nature.com/articles/s42256-021-00401-3
 [flex-model-paper]: https://arxiv.org/abs/2312.03140
 [vbll-paper]: https://arxiv.org/abs/2404.11599
 [bmu-paper]: https://aclanthology.org/2024.emnlp-industry.71/
@@ -97,10 +82,6 @@ This catalog is a collection of repositories for various Machine Learning techni
 [fact-or-fiction-paper]: https://arxiv.org/abs/2411.05775
 
 [//]: # (Reference links for datasets)
-[CIFAR10]: https://pytorch.org/vision/main/generated/torchvision.datasets.CIFAR10.html#torchvision.datasets.CIFAR10
-[CIFAR100]: https://pytorch.org/vision/main/generated/torchvision.datasets.CIFAR100.html#torchvision.datasets.CIFAR100
-[SVHN]: https://pytorch.org/vision/main/generated/torchvision.datasets.SVHN.html#torchvision.datasets.SVHN
-[Adult]: https://github.com/VectorInstitute/laftr/tree/master/data/adult
 [SpaceNet Building Detection V2]: https://spacenet.ai/spacenet-buildings-dataset-v2/
 [MVTEC]: https://www.mvtec.com/company/research/datasets/mvtec-ad
 [ICDAR2015]: https://drive.google.com/drive/folders/12eg7u7oBkZ6-ov3ITiED4nLlQzP4KoTd
@@ -118,11 +99,6 @@ This catalog is a collection of repositories for various Machine Learning techni
 [Yelp]: https://business.yelp.com/data/resources/open-dataset/
 [Airbnb]: https://insideairbnb.com/get-the-data/
 [CORD-19]: https://www.kaggle.com/datasets/allen-institute-for-ai/CORD-19-research-challenge
-[Mushroom]: https://archive.ics.uci.edu/dataset/73/mushroom
-[Statlog]: https://github.com/VectorInstitute/NeuralKernelBandits/tree/main/contextual_bandits/datasets
-[Adult-nkb]: https://archive.ics.uci.edu/dataset/2/adult
-[US Census 1990]: https://archive.ics.uci.edu/dataset/116/us+census+data+1990
-[Covertype]: https://archive.ics.uci.edu/dataset/31/covertype
 [FRED Economic Data]: https://fred.stlouisfed.org/
 [Amazon-recsys]: https://drive.google.com/drive/folders/1w9ofYRBZN5XIb8M-UzbU3Wp4H1ZBYOFi?usp=drive_link
 [careervillage]: https://drive.google.com/drive/folders/1rNeBtNYM7Z0oHVho75PDEP3VZIXAoxx9?usp=drive_link
@@ -141,12 +117,8 @@ This catalog is a collection of repositories for various Machine Learning techni
 [Economic Data with Food CPI]: https://drive.google.com/drive/folders/1cNyHR5DpUQ5RORgDS8pB8iswWo-iBLFI
 [Crow-pairs]: https://github.com/VectorInstitute/PromptEngineering/blob/main/src/reference_implementations/fairness_measurement/crow_s_pairs/resources/crows_pairs_anonymized.csv
 [sst5]: http://github.com/VectorInstitute/PromptEngineering/blob/main/src/reference_implementations/fairness_measurement/czarnowska_analysis/resources/processed_sst5.tsv
-[cnn_dailymail]: https://huggingface.co/datasets/ccdv/cnn_dailymail
-[ag_news]: https://huggingface.co/datasets/fancyzhx/ag_news
 [Tweet-data]: https://github.com/VectorInstitute/PromptEngineering/tree/main/resources/datasets
 [Other]: https://github.com/VectorInstitute/PromptEngineering/tree/main/src/reference_implementations/prompting_vector_llms/llm_prompting_examples/resources
-[Few shot images dataset]: https://drive.google.com/file/d/1aAJCZbXNHyraJ6Mi13dSbe7pTyfPXha0/view
-[Link-absa]: https://github.com/VectorInstitute/ABSA/tree/main/atsc_paper/atsc_prompts_modified/dataset_files
 [ELI5]: https://drive.google.com/drive/folders/1PDBiij-6JSxOtplOSc0hPTk9zL9n3qR6
 [MSMARCO]: https://drive.google.com/drive/folders/1LO3OtuDC_FSFktTgb2NfjPY2cse7WcTY
 [cluster-anomaly]: https://github.com/VectorInstitute/anomaly-detection-project/tree/main?tab=readme-ov-file#datasets
@@ -162,8 +134,6 @@ This catalog is a collection of repositories for various Machine Learning techni
 [Berkeley admission]: https://github.com/VectorInstitute/Causal_Inference_Laboratory/tree/main/data/CFA
 [Government Census]: https://github.com/VectorInstitute/Causal_Inference_Laboratory/tree/main/data/CFA
 [Compas]: https://github.com/VectorInstitute/Causal_Inference_Laboratory/tree/main/data/CFA
-[EA]: https://github.com/VectorInstitute/VariationalNeuralAnnealing/tree/main/data/EA
-[SK]: https://github.com/VectorInstitute/VariationalNeuralAnnealing/tree/main/data/SK
 [MNIST]: https://huggingface.co/datasets/ylecun/mnist
 [FashionMNIST]: https://huggingface.co/datasets/zalando-datasets/fashion_mnist
 [Vectors 2021 Annual Report]: https://github.com/VectorInstitute/rag_bootcamp/tree/main/cloud_search/source_documents
@@ -175,8 +145,6 @@ This catalog is a collection of repositories for various Machine Learning techni
 [crow-pairs-pe-lab]: https://github.com/VectorInstitute/PromptEngineeringLaboratory/tree/main/src/reference_implementations/fairness_measurement/crow_s_pairs/resources
 [sst5-pe-lab]: https://github.com/VectorInstitute/PromptEngineeringLaboratory/tree/main/src/reference_implementations/fairness_measurement/czarnowska_analysis/resources
 [czar-templ-pe-lab]: https://github.com/VectorInstitute/PromptEngineeringLaboratory/tree/main/src/reference_implementations/fairness_measurement/resources/czarnowska_templates
-[cnn_dailymail]: https://huggingface.co/datasets/ccdv/cnn_dailymail
-[ag_news]: https://huggingface.co/datasets/fancyzhx/ag_news
 [Weather and sports data]: https://github.com/VectorInstitute/PromptEngineeringLaboratory/tree/main/src/reference_implementations/prompting_vector_llms/llm_basic_rag_example/resources
 [link1-bmu]: https://github.com/VectorInstitute/bias-mitigation-unlearning/tree/main/reddit_bias/data
 [bbq-bmu]: https://github.com/nyu-mll/BBQ/tree/main/data