Pinned Repositories
amoskalev.github.io
capstumor
contrasting_quadratic
PyTorch implementation of the paper "Contrasting quadratic assignments for set-based representation learning", ECCV 2022.
DeblurGAN
Image Deblurring using Generative Adversarial Networks
Geometrical_Methods_of_ML
ginvariance
industrial_assignment
liegg
LieGG: Studying Learned Lie Group Generators. NeurIPS 2022.
machine_learning
Some problems from ML class
Practical_DL
DL course co-developed by YSDA, Skoltech and HSE
amoskalev's Repositories
amoskalev/contrasting_quadratic
PyTorch implementation of the paper "Contrasting quadratic assignments for set-based representation learning", ECCV 2022.
amoskalev/liegg
LieGG: Studying Learned Lie Group Generators. NeurIPS 2022.
amoskalev/Practical_DL
DL course co-developed by YSDA, Skoltech and HSE
amoskalev/amoskalev.github.io
amoskalev/capstumor
amoskalev/DeblurGAN
Image Deblurring using Generative Adversarial Networks
amoskalev/Geometrical_Methods_of_ML
amoskalev/ginvariance
amoskalev/industrial_assignment
amoskalev/machine_learning
Some problems from ML class
amoskalev/mlcourse_open
OpenDataScience Machine Learning course (yet Russian-only)
amoskalev/mri-attribute-manipulation
Manipulation of MRI images according to Alzheimer disease stage and person age
amoskalev/nn-intrinsic-dimension
amoskalev/Optimization-methods-and-Numerical-linear-algebra
Assignments
amoskalev/optimization_project
Market product placement optimization
amoskalev/radiation_mission
Oksana Rusanova's project
amoskalev/scikit-image
Image processing in Python
amoskalev/SiamCAR
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral)
amoskalev/siamfc-pytorch
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
amoskalev/signal_and_image_processing
Some problems from SIP class
amoskalev/skoltech_thesis_template
This is an unofficial LaTeX template for MSc thesis in a Skoltech university.
amoskalev/vision
Datasets, Transforms and Models specific to Computer Vision