Pinned Repositories
CapyMOA
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
AdIter
ADL_Pytorch
Pytorch implementation of Autonomous Deep Learning (ADL)
avalanche
Avalanche: an End-to-End Library for Continual Learning.
CAND
Place holder for paper "Online Hyperparameter Optimization for Streaming Neural Networks"
ijcai2024
ODIN
Online Domain Incremental Networks (ODIN)
ODIP
ICANN2022 - Adaptive Online Domain Incremental Continual Learning
SGBT
moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
nuwangunasekara's Repositories
nuwangunasekara/ijcai2024
nuwangunasekara/ODIP
ICANN2022 - Adaptive Online Domain Incremental Continual Learning
nuwangunasekara/SGBT
nuwangunasekara/avalanche
Avalanche: an End-to-End Library for Continual Learning.
nuwangunasekara/CAND
Place holder for paper "Online Hyperparameter Optimization for Streaming Neural Networks"
nuwangunasekara/ODIN
Online Domain Incremental Networks (ODIN)
nuwangunasekara/AdIter
nuwangunasekara/ADL_Pytorch
Pytorch implementation of Autonomous Deep Learning (ADL)
nuwangunasekara/CapyMOA
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
nuwangunasekara/CivilApp
nuwangunasekara/jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
nuwangunasekara/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
nuwangunasekara/MOA_issue_260
nuwangunasekara/moa_test2
nuwangunasekara/MOA_Issue_271
nuwangunasekara/moa_release_2023.04.0
nuwangunasekara/nuwangunasekara.github.io
nuwangunasekara/online-continual-learning
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
nuwangunasekara/scikit-multiflow
A machine learning framework for multi-output/multi-label and stream data.
nuwangunasekara/SGBT_PR
nuwangunasekara/SGBT_Regressor
nuwangunasekara/tensor-flow-serving
TensorFlow Serving