matematyk's repositories
deep-learning-first-assignment
Shape classification: network outputs six numbers: probabilities of a class being found on the image (in at least one copy). Geometric shapes counting: network outputs 10 probabilities for each class, representing different numbers of objects of this class on the image. So the network should have 60 outputs.
deep-learning-melanoma-model
A convolutional neural network model to detect cancerous state of a person's skin and classify them as malignant (melanoma) and benign (non-malignant).
deep-learning-mimuw-2021
Lab assignments from deep learning class 2021.
deep-learning-second-assigment
In this assigment, your goal will be to solve an object detection training and prediction task using the anchor-based approach. As a part of your solution, you should provide a report summarizing your findings and results of the conducted experiments.
abstract--SUDOQ
conference
data
Date for training
egzamin_fan
fan
project-scientific-computing
2D Ising Model using the Metropolis algorithm
projekt_bd
Projekt zaliczeniowy z Baz Danych
STARCH
Spatial Transcriptomics Algorithm Reconstructing Copy-number Heterogeneity
SudoQ-game
SudoQ game repository
symulacje-stoch
Stochastic simulation
uczenie_maszynowe
Uczenie maszynowe samples