miladkhademinori
PhD in Deep Learning from Queen's University (2023). Expert in federated and continual learning with publications in top journals. Proficient in Python.
Queen's UniversityCanada
Pinned Repositories
arxivwiki
enriched e-Prints
Ass1ForRL
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Cuckoo-Search-Optimization-Algorithm
Face-Recognition-Via-Weighted-Two-Phase-Test-Sample-Sparse-Representation
FedWeIT
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
Implementation-of-Water-Filling-Method
medical-imaging
Medical Imaging Assingment
Python
All Algorithms implemented in Python
pytorch-cifar
95.47% on CIFAR10 with PyTorch
miladkhademinori's Repositories
miladkhademinori/Face-Recognition-Via-Weighted-Two-Phase-Test-Sample-Sparse-Representation
miladkhademinori/pytorch-cifar
95.47% on CIFAR10 with PyTorch
miladkhademinori/arxivwiki
enriched e-Prints
miladkhademinori/Ass1ForRL
miladkhademinori/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
miladkhademinori/FedWeIT
This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
miladkhademinori/medical-imaging
Medical Imaging Assingment
miladkhademinori/Python
All Algorithms implemented in Python
miladkhademinori/ATOMO
Atomo: Communication-efficient Learning via Atomic Sparsification
miladkhademinori/Aut-thesis-pres
miladkhademinori/Bluetooth-Low-Energy
miladkhademinori/class-incremental-learning
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
miladkhademinori/Convex-Optimization
miladkhademinori/Convex-Optimization-Contour
miladkhademinori/ConvexCourse-Implementation-of-a-paper
miladkhademinori/ConvexOptimizationReport
miladkhademinori/Deep_SLDA
PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"
miladkhademinori/gh-pages
miladkhademinori/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
miladkhademinori/matrix-completion
Lightweight Python library for simple matrix completion.
miladkhademinori/medical-final-project
miladkhademinori/Medical_final_project_Malaria_Detection_fed
miladkhademinori/miladkhademinori.github.io
miladkhademinori/picai_labels
Annotations for the PI-CAI Challenge: Public Training and Development Dataset
miladkhademinori/QueraCode
miladkhademinori/ReinforcementPres
miladkhademinori/ReportFirstAssRL
miladkhademinori/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
miladkhademinori/ThesisFigureCodes
PythonThesisFigureCode
miladkhademinori/wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch