Author Archives: Nikita Shiledarbaxi - Page 4

20 Mar

Hands-on Guide To PyVista: A Python Package For 3D Plotting And Mesh Analysis

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image-21025

PyVista (formerly known as ‘vtki’) is a flexible helper module and a high-level API for the Visualization Toolkit (VTK). It is a streamlined interface for the VTK, enabling mesh analysis and plotting 3D figures using Python code. It was introduced by C. Bane Sullivan and Alexander A. Kaszynski in May 2019 (research paper).  Before going…

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20 Mar

Guide To Kornia: An OpenCV-inspired PyTorch Framework

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image-21013

Kornia is an open-source Python library inspired by OpenCV designed to handle generic Computer Vision tasks. It was introduced by Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee and Gary Bradski in October, 2019 (research paper).  Kornia leverages PyTorch library at its backend in terms of model’s efficiency and reverse-mode auto-differentiation for defining and computing…

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20 Mar

Guide To Kornia: An OpenCV-inspired PyTorch Framework

image-21014
image-21014

Kornia is an open-source Python library inspired by OpenCV designed to handle generic Computer Vision tasks. It was introduced by Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee and Gary Bradski in October, 2019 (research paper).  Kornia leverages PyTorch library at its backend in terms of model’s efficiency and reverse-mode auto-differentiation for defining and computing…

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18 Mar

Complete Guide To Arrow: A Python Library for User-friendly Handling Of Dates, Time and Timestamps

Arrow is a flexible Python library designed to create, format, manipulate, and convert dates, time, and timestamps in a sensible and human-friendly manner. It provides an intelligent module API that allows dealing with dates and times with a few code lines and imports. The library is named after the “time’s arrow” concept suggesting the one-directional…

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18 Mar

Complete Guide To Arrow: A Python Library for User-friendly Handling Of Dates, Time and Timestamps

Arrow is a flexible Python library designed to create, format, manipulate, and convert dates, time, and timestamps in a sensible and human-friendly manner. It provides an intelligent module API that allows dealing with dates and times with a few code lines and imports. The library is named after the “time’s arrow” concept suggesting the one-directional…

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17 Mar

Hands-On Guide to CenterMask: A Real-Time Anchor-Free Instance Segmentation Technique

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image-20944

CenterMask is the first-ever “anchor-free” instance segmentation technique. Youngwan Lee and Jongyoul Park, researchers at the Electronics and Telecommunications Research Institute (ETRI), South Korea, introduced this technique- in April 2020 (research paper). If you are unaware of the term ‘instance segmentation’, refer to this article before proceeding! Why CenterMask? Top-down instance segmentation methods such as…

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14 Mar

Guide To PyTorch Metric Learning: A Library For Implementing Metric Learning Algorithms

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image-20844

Metric Learning is defined as learning distance functions over multiple objects. PyTorch Metric Learning (PML) is an open-source library that eases the tedious and time-consuming task of implementing various deep metric learning algorithms. It was introduced by Kevin Musgrave and Serge Belongie of Cornell Tech and Ser-Nam Lim of Facebook AI in August 2020 (research…

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10 Mar

Guide To GPyTorch: A Python Library For Gaussian Process Models

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image-20752

GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and Andrew Gordon Wilson – researchers at Cornel University (research paper). Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. Gaussian Process…

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10 Mar

Guide To GPyTorch: A Python Library For Gaussian Process Models

image-20751
image-20751

GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and Andrew Gordon Wilson – researchers at Cornel University (research paper). Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. Gaussian Process…

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10 Mar

Guide To TensorLy: A Python Library For Tensor Learning

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image-20747

TensorLy is an open-source Python library that eases the task of performing tensor operations. It provides a high-level API for dealing with deep tensorized neural networks and tensor methods. It was created in 2015 by a senior research scientist at NVIDIA Research Group named Jean Kossaifi. It was presented at the NeurIPS workshop and was…

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