October 3, 2021 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 […]

October 3, 2021 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

October 3, 2021 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 […]

October 3, 2021 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 […]

October 3, 2021 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

October 3, 2021 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 […]

October 3, 2021 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 […]

October 3, 2021 Deep Learning

A PyTorch Library for Accelerating 3D Deep Learning Research

Overview NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints and more. Kaolin library is part of a larger suite of tools for 3D deep learning research. For example, the Omniverse Kaolin App will allow interactive visualization of 3D checkpoints. To find out more about the Kaolin ecosystem, visit the NVIDIA Kaolin Dev […]

October 3, 2021 Structure

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks paper, originally forked from the LSTM and QRNN Language Model Toolkit for PyTorch. If you use this code or our results in your research, we’d appreciate if you cite our paper as following: @article{shen2018ordered, title={Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks}, author={Shen, Yikang and Tan, Shawn and Sordoni, Alessandro and Courville, Aaron}, journal={arXiv preprint […]

October 3, 2021 PyTorch

LSTM and QRNN Language Model Toolkit for PyTorch

This repository contains the code used for two Salesforce Research papers: The model comes with instructions to train: word level language models over the Penn Treebank (PTB), WikiText-2 (WT2), and WikiText-103 (WT103) datasets character level language models over the Penn Treebank (PTBC) and Hutter Prize dataset (enwik8) The model can be composed of an LSTM or a Quasi-Recurrent Neural Network (QRNN) which is two or more times faster than the cuDNN LSTM in this setup while achieving equivalent or better […]

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