azkalot1
MLE at Cellarity. MIPT (2017), the University of Chicago (2021). Bioinformatics and deep learning.
CellarityChicago
Pinned Repositories
azkalot1.github.io
github io page
bioinfCourse
Statistics, bioinformatics and data analysis for biology course
Histopathologic-Cancer-Detection
Kaggle histopathologic cancer detection (playground) competition solution
kaggle-SIIM-ISIC
Kaggle SIIM-ISIC challenge
Prostate-cANcer-graDe-Assessment-PANDA-Challenge
Solution for kaggle PANDA challenge; 13th place
PythonCodingExamples
Some examples from different python courses and books
segmentation_benchmark
Semantic segmentation benchmark
UW-Madison-GI-Tract-Image-Segmentation
UW-Madison GI Tract Image Segmentation kaggle competition (https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation)
APTOS-2019-Blindness-Detection
:eyes: Kaggle competition
Bengali.AI-Handwritten-Grapheme-Classification
:sa: Kaggle competition
azkalot1's Repositories
azkalot1/segmentation_benchmark
Semantic segmentation benchmark
azkalot1/Histopathologic-Cancer-Detection
Kaggle histopathologic cancer detection (playground) competition solution
azkalot1/UW-Madison-GI-Tract-Image-Segmentation
UW-Madison GI Tract Image Segmentation kaggle competition (https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation)
azkalot1/kaggle-SIIM-ISIC
Kaggle SIIM-ISIC challenge
azkalot1/PythonCodingExamples
Some examples from different python courses and books
azkalot1/azkalot1.github.io
github io page
azkalot1/bioinfCourse
Statistics, bioinformatics and data analysis for biology course
azkalot1/Prostate-cANcer-graDe-Assessment-PANDA-Challenge
Solution for kaggle PANDA challenge; 13th place
azkalot1/CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
azkalot1/GAN-training
Using GANs to generate artificial data and train the networks better
azkalot1/great-barrier-reef
Detect crown-of-thorns starfish in underwater image data - kaggle competition
azkalot1/predict-wind-speeds
DrivenData Wind-dependent Variables: Predict Wind Speeds of Tropical Storms
azkalot1/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
azkalot1/scRNA-tools
Usefull tools and notebooks for single cell rna seq analysis
azkalot1/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
azkalot1/univariate-linear-regression
Example data science project used in Datacamp's Unit Testing for Data Science in Python course
azkalot1/video_processing_benchmark
What is the best way to batch process the video?