ANNdotNET — deep learning tool on .NET Platform

ANNdotNET is an open source project for deep learning written in C# with ability to create, train, evaluate and export deep learning models. The project consists of the Graphical User Interface module capable to visually prepare data, fine tune hyper-parameters, design network architecture, evaluate and test trained models… The ANNdotNET introduces the Visual Network Designer, (VND) for visually design almost any sequential deep learning network. Beside VND, ANNdotNET implements Machine Learning Engine, (MLE) based on CNTK – deep learning framework, […]

September 26, 2020 AUTONOMOUS DRIVING, Machine Learning

Robust and efficient post-processing for video object detection

Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks. Object recognition using video data is more challenging than using still images due to blur, occlusions or rare object poses… Specific video detectors with high computational cost or standard image detectors together with a fast post-processing algorithm achieve the current state-of-the-art. This work introduces a novel post-processing pipeline that overcomes some of the limitations of previous post-processing […]

September 26, 2020 DEEP ATTENTION, Machine Learning

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

Traditional image-based survival prediction models rely on discriminative patch labeling which make those methods not scalable to extend to large datasets. Recent studies have shown Multiple Instance Learning (MIL) framework is useful for histopathological images when no annotations are available in classification task… Different to the current image-based survival models that limit to key patches or clusters derived from Whole Slide Images (WSIs), we propose Deep Attention Multiple Instance Survival Learning (DeepAttnMISL) by introducing both siamese MI-FCN and attention-based MIL […]

September 26, 2020 Machine Learning, SUPER RESOLUTION

Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections

Projection of changes in extreme indices of climate variables such as temperature and precipitation are critical to assess the potential impacts of climate change on human-made and natural systems, including critical infrastructures and ecosystems. While impact assessment and adaptation planning rely on high-resolution projections (typically in the order of a few kilometers), state-of-the-art Earth System Models (ESMs) are available at spatial resolutions of few hundreds of kilometers… Current solutions to obtain high-resolution projections of ESMs include downscaling approaches that consider […]

September 26, 2020 Beginner, Big data, Data Engineering, Database, NoSQL Leave a comment

5 Popular NoSQL Databases Every Data Science Professional Should Know About

Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see what is a NoSQL database and why you should learn about it We will also look at the features of 5 different NoSQL databases Introduction Here’s a piece of advice I wish someone had given me when I was starting out in data science – learn as much as you can about working with databases. […]

September 25, 2020 Python

Asynchronous vs Synchronous Python Performance Analysis

Introduction This article is the second part of a series on using Python for developing asynchronous web applications. The first part provides a more in-depth coverage of concurrency in Python and asyncio, as well as aiohttp. If you’d like to read more about Asynchronous Python for Web Development, we’ve got it covered. Due to the non-blocking nature of asynchronous libraries like aiohttp we would hope to be able to make and handle more requests in a given amount of time […]

September 25, 2020 Python

Search Algorithms in Python

Introduction Searching for data stored in different data structures is a crucial part of pretty much every single application. There are many different algorithms available to utilize when searching, and each have different implementations and rely on different data structures to get the job done. Being able to choose a specific algorithm for a given task is a key skill for developers and can mean the difference between a fast, reliable and stable application and an application that crumbles from […]

September 25, 2020 Python

Saving Text, JSON, and CSV to a File in Python

Saving data to a file is one of the most common programming tasks you may come across in your developer life. Generally, programs take some input and produce some output. There are numerous cases in which we’d want to persist these results. We may find ourselves saving data to a file for later processing – from webpages we browse, simple dumps of tabular data we use for reports, machine learning and training or logging during the application runtime – we […]

September 25, 2020 Python

Python Data Visualization with Matplotlib

Introduction Visualizing data trends is one of the most important tasks in data science and machine learning. The choice of data mining and machine learning algorithms depends heavily on the patterns identified in the dataset during data visualization phase. In this article, we will see how we can perform different types of data visualizations in Python. We will use Python’s Matplotlib library which is the de facto standard for data visualization in Python. The article A Brief Introduction to Matplotlib […]

September 25, 2020 Python

Handling Unix Signals in Python

UNIX/Linux systems offer special mechanisms to communicate between each individual process. One of these mechanisms are signals, and belong to the different methods of communication between processes (Inter Process Communication, abbreviated with IPC). In short, signals are software interrupts that are sent to the program (or the process) to notify the program of significant events or requests to the program in order to run a special code sequence. A program that receives a signal either stops or continues the execution […]

« 1 … 876 877 878 879 880 … 928 »