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abap-cheat-sheets

Explore ABAP syntax in a nutshell supported by executable demo examples.

angular-f7xzvk

Created with StackBlitz ⚡️

attention-based-skin-cancer-classification

attention-based-skin-cancer-classification-1

augmentor

Image augmentation library in Python for machine learning.

awesome-nlp-polish

A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.

break-glass-with-resonant-frequency

Breaking A Wine Glass By Detecting Resonant Frequency in Python

cancernet-sca

cgm-remote-monitor

nightscout web monitor

cloud_haiku

Community-made poetry about infrastructure

collatz

Collatz sequences visualization in Mathematica 10.1+

csharp_with_csharpfritz

Show notes, slides, and samples from the CSharp with CSharpFritz show

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

dejavu

Audio fingerprinting and recognition in Python

emailbomber

a powerful script in python to send bulk mails

fashion-mnist

4 different image classification ConvNets models for Fashion-MNIST dataset

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

github.io

ham10000_dataset

Tools for workup of the HAM10000 dataset

isic2018

Lesion attributes segmentation for melanoma detection with multi-task U-Net

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

kite-python-blog-post-code

Code snippets from Kite blog posts

klasyfikator

klejbenchmark-baselines

Fine-tuning scripts for evaluating transformer-based models on KLEJ benchmark.

knowledge_graph

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

learningfromaudio

Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.

lesion-gan

Code for "Towards Interpretable Skin Lesion Classification with Deep Learning Models"

linuxupskillchallenge

Learn the skills required to sysadmin a remote Linux server from the commandline.

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

melanoma_segmentation

Segmentation of skin cancers on ISIC 2017 challenge dataset.