Matrix

Synapse: Matrix reference homeserver

Matrix is an ambitious new ecosystem for open federated Instant Messaging and VoIP. The basics you need to know to get up and running are: Everything in Matrix happens in a room. Rooms are distributed and do not exist on any single server. Rooms can be located using convenience aliases like #matrix:matrix.org or #test:localhost:8448. Matrix user IDs look like @matthew:matrix.org (although in the future you will normally refer to yourself and others using a third party identifier (3PID): email address, […]

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hacktoberfest

Aan open-source whistleblower submission system

SecureDrop is an open-source whistleblower submission system that media organizations can use to securely accept documents from, and communicate with anonymous sources. It was originally created by the late Aaron Swartz and is currently managed by the Freedom of the Press Foundation. Documentation SecureDrop’s documentation is built and hosted by Read the Docs at https://docs.securedrop.org. It is maintained in a standalone repository: https://github.com/freedomofpress/securedrop-docs By default, the documentation describes the most recent SecureDrop release. This is known as the stable   […]

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Python

Python 3.10: Cool New Features for You to Try

Python 3.10 is out! Volunteers have been working on the new version since May 2020 to bring you a better, faster, and more secure Python. As of October 4, 2021, the first official version is available. Each new version of Python brings a host of changes. You can read about all of them in the documentation. Here, you’ll get to learn about the coolest new features. In this tutorial, you’ll learn about: Debugging with more helpful and precise error messages […]

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Scripts

Script for resizing MTD partitions on a QNAP device in order to be available to upgrade from buster to bullseye

As explained by Marin Michlmayr, Debian bullseye support on kirkwood QNAP devices was dropped due to [mainly] the limited size of the Kernel partition (2MB). Indeed, Bullseye current kernel image (vmlinuz-5.10.0-8-marvell) is 2445216 bytes long (2.3MB) In addition, partition for initrd is also limited (9MB) which may lead to space issues. Hopefully, some space is still unused for Debian in QNAP 16MB NOR flash. An additional 3MB Rootfs2 partition is used by original QNAP firmware for its own purpose (install […]

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Jupyter notebooks

STAC in Jupyter Notebooks

STAC in Jupyter Notebooks Install pip install stac-nb Usage To use stac-nb in a project, start Jupyter Lab (jupyter lab), create a new notebook, then: from stac_nb import STAC_Query_UI Display the UI for a STAC API: ui = STAC_Query_UI(“https://earth-search.aws.element84.com/v0”) ui.display() After you have run the query, retrieve the results: ui.query_results GitHub https://github.com/darrenwiens/stac-nb    

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Algorithms

A compilation of important Data Structures and Algorithms based on Python

This repository is a compilation of important Data Structures and Algorithms based on Python. Please make seperate folders for different topics😇 The following topics will be elaborated: Big O Time Complexity Tuples Dictionaries Lists Arrays Looping Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Bucket Sort Merge Sort Quick Sort Heap Sort Tree Sort Shell Sort Count Sort Radix Sort Searching Algorithms Linear Search Binary Search Backtracking Dynamic Programming Linked List Singly Linked List Doubly Linked List Circular Singly Linked […]

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hacktoberfest

Adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages

This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Go through the Contributing Guidelines for a detailed information on contributing to this repository! For beginners – Jump to this section. PRs made without adding any useful Resource / Code / Solving Issues will be marked as invalid/spam. If this is your first time creating a Pull Request – go through the next section to know how to create one. If you […]

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Deep Learning

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

We strongly believe in open and reproducible deep learning research. Our goal is to implement an open-source medical image segmentation library of state of the art 3D deep neural networks in PyTorch. We also implemented a bunch of data loaders of the most common medical image datasets. This project started as an MSc Thesis and is currently under further development. Although this work was initially focused on 3D multi-modal brain MRI segmentation we are slowly adding    

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Sequences

ULMFiT for Genomic Sequence Data

This is an implementation of ULMFiT for genomics classification using Pytorch and Fastai. The model architecture used is based on the AWD-LSTM model, consisting of an embedding, three LSTM layers, and a final set of linear layers. The ULMFiT approach uses three training phases to produce a classification model: Train a language model on a large, unlabeled corpus Fine tune the language model on the classification corpus Use the fine tuned language model to initialize a classification model This method […]

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Dataset

TorchXRayVision: A library of chest X-ray datasets and models

A library for chest X-ray datasets and models. Including pre-trained models. ( 🎬promo video about the project) Motivation: While there are many publications focusing on the prediction of radiological and clinical findings from chest X-ray images much of this work is inaccessible to other researchers. In the case of researchers addressing clinical questions it is a waste of time for them to train models from scratch. To address this, TorchXRayVision provides pre-trained models which are trained on large cohorts of […]

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