michaldyczko

Machine Learning Engineer | Full-Stack Developer

Pinned Repositories

pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
Language:Python224 6 6219
django-quill-editor
django-quill-editor makes Quill.js easy to use on Django Forms and admin sites
Language:Python192 4 8346
django-quill-editor
django-quill-editor makes Quill.js easy to use on Django Forms and admin sites
Language:Python0 0 01
gradientnorm-autoclipper
Allows automatic gradient norm clipping. This feature can help to stabilize training in certain situations by limiting the magnitude of gradient updates. The implementation is inspired by the paper "AutoClip: Adaptive Gradient Clipping for Source Separation Networks"
Language:Python0 1 00
michaldyczko
GH profile description
10
ncn-grants
Project for Python for Data Visualisation course (summer semester 2019/2020) at Warsaw University of Technology.
Language:JavaScript0 0 00
punctuation-restoration
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
Language:Python00
pytorch-parametrizations
PyTorch implementation of the spectral parametrization of the weights of a 2D convolutional layer, as introduced in the paper "Efficient Nonlinear Transforms for Lossy Image Compression" by Johannes Ballé, PCS 2018.
Language:Python0 1 00
pytorch-smartcrop
Smartcrop transform for PyTorch
Language:Python0 1 00
pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
Language:Python0 0 00

michaldyczko/michaldyczko
GH profile description
10
michaldyczko/django-quill-editor
django-quill-editor makes Quill.js easy to use on Django Forms and admin sites
Language:Python0 0 01
michaldyczko/gradientnorm-autoclipper
Allows automatic gradient norm clipping. This feature can help to stabilize training in certain situations by limiting the magnitude of gradient updates. The implementation is inspired by the paper "AutoClip: Adaptive Gradient Clipping for Source Separation Networks"
Language:Python0 1 00
michaldyczko/ncn-grants
Project for Python for Data Visualisation course (summer semester 2019/2020) at Warsaw University of Technology.
Language:JavaScript0 0 00
michaldyczko/punctuation-restoration
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
Language:Python00
michaldyczko/pytorch-parametrizations
PyTorch implementation of the spectral parametrization of the weights of a 2D convolutional layer, as introduced in the paper "Efficient Nonlinear Transforms for Lossy Image Compression" by Johannes Ballé, PCS 2018.
Language:Python0 1 00
michaldyczko/pytorch-smartcrop
Smartcrop transform for PyTorch
Language:Python0 1 00
michaldyczko/pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
Language:Python0 0 00