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Balakrishnakumar V
Balakrishnakumar V

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Published in Towards AI

·Jun 12, 2021

A Primer on Node.js

An article that makes you sufficient enough to create & play with the node-based web server, do CRUD operations, and more. — Table of Contents: 1. Getting Started What is Node Node Architecture How Node Works Installing Node First Node Program 2. Node Module System Global Object Modules Creating a modules Loading a modules Module Wrapper Functions Path Module OS Module Events Module Events Arguments

Nodejs

34 min read

A Primer on Node.js
A Primer on Node.js

Published in Towards Data Science

·May 17, 2021

CRUD (Create, Read, Update, Delete) Operations on NoSQL Database (MongoDB) Using Node.js

Hello readers, In this article, I have demonstrated the CRUD operations on MongoDB and performed the operations in both Synchronous and Asynchronous ways. Basic knowledge of Node.js is appreciated. NoSQL database used : MongoDB Table of Contents: Introduction Setting up MongoDB (NoSQL) Synchronous Vs Asynchronous Execution Creating a Schema, Model, Object CREATE (Synchronous) …

Mongodb

6 min read

CRUD (Create, Read, Update, Delete) Operations on NoSQL Database (MongoDB) Using Node.js
CRUD (Create, Read, Update, Delete) Operations on NoSQL Database (MongoDB) Using Node.js

Published in Towards Data Science

·Jan 29, 2021

How to Hide/Encrypt/Obfuscate any Python Program

For the purpose of obfuscation, we will be using a python package called pyarmor. We might sometimes face a situation where we need to provide code directly to a client for obvious reasons, but by doing so, we will lose control of the code. In such cases, we might we…

Code Obfuscation

4 min read

How to Hide/Encrypt/Obfuscate any Python Program
How to Hide/Encrypt/Obfuscate any Python Program

Published in Towards Data Science

·Oct 24, 2020

OpenCV + CUDA + AWS EC2 + (No More Tears)

Step by step instructions to bind OpenCV libraries with CUDA drivers to enable GPU processing on OpenCV codes. — By default, there is no need to enable OpenCV with CUDA for GPU processing, but during production, when you have heavy OpenCV manipulations to do on image/video files, we can make use of the OpenCV CUDA library to make those operations to run on GPU rather than CPU and it…

Opencv

11 min read

OpenCV + CUDA + AWS EC2 + (No More Tears)
OpenCV + CUDA + AWS EC2 + (No More Tears)

Published in Towards Data Science

·Sep 14, 2020

A Comprehensive Guide to Neural Machine Translation using Seq2Seq Modelling using PyTorch.

In this post, we will be building an LSTM based Seq2Seq model with the Encoder-Decoder architecture for machine translation without attention mechanism. — Table of Contents: Introduction Data Preparation and Pre-processing Long Short Term Memory (LSTM) — Under the Hood Encoder Model Architecture (Seq2Seq) Encoder Code Implementation (Seq2Seq) Decoder Model Architecture (Seq2Seq) Decoder Code Implementation (Seq2Seq)

Deep Learning

11 min read

A Comprehensive Guide to Neural Machine Translation using Seq2Sequence Modelling using PyTorch.
A Comprehensive Guide to Neural Machine Translation using Seq2Sequence Modelling using PyTorch.

Published in DataDrivenInvestor

·Sep 1, 2020

The Architecture and Implementation of LeNet from Scratch in Pytorch

Recreating the oldest Neural Network Architecture. Introduction I am starting a series of posts in medium covering most of the CNN architectures and implemented in PyTorch and TensorFlow. …

Deep Learning

4 min read

Architecture & Implementation of LeNet from Scratch in Pytorch
Architecture & Implementation of LeNet from Scratch in Pytorch

Published in Towards AI

·Aug 24, 2020

Create your Mini-Word-Embedding from Scratch using Pytorch

Introduction: On a lighter note, the embedding of a particular word (In Higher Dimension) is nothing but a vector representation of that word (In Lower Dimension). Where words with similar meaning Ex. “Joyful” and “Cheerful” and other closely related words like Ex. …

Deep Learning

10 min read

Create your own Mini-Word-Embedding from Scratch.
Create your own Mini-Word-Embedding from Scratch.

Published in Towards AI

·Aug 21, 2020

Visual Representation of Matrix and Vector Operations and implementations in NumPy, Torch, and TensorFlow.

Implementing rudimentary to advanced operations on deep learning’s fundamental units. I am accustomed to creating new deep learning architectures for different problems, but which framework (Keras, Pytorch, TensorFlow) to choose is often harder. Since there’s an uncertainty in it, it’s good to know the fundamental operations on those framework’s fundamental…

Numpy

4 min read

Visual Representation of Matrix and Vector Operations and implementation in NumPy, Torch, and…
Visual Representation of Matrix and Vector Operations and implementation in NumPy, Torch, and…

Published in Towards AI

·Aug 12, 2020

Yolo-V5 Object Detection on a Custom Dataset

Step by step instructions to train Yolo-v5 & do Inference(from ultralytics) to count the blood cells and localize them. I vividly remember that I tried to do an object detection model to count the RBC, WBC, and platelets on microscopic blood-smeared images using Yolo v3-v4, but I couldn’t get as…

Yolo

10 min read

Yolo-v5 Object Detection on a custom dataset.
Yolo-v5 Object Detection on a custom dataset.

Published in DeepScopy

·Jul 29, 2020

An Ultimate Post to Git and Github

Hey Everyone, in this post we will be familiarising ourselves about using Git and GitHub. Git — > Git is a version control system. It allows you to record different versions of your project and also allows you to go back in time to check previous versions of your project.

Git

12 min read

An Ultimate Post to Git and Github
An Ultimate Post to Git and Github
Balakrishnakumar V

Balakrishnakumar V

Machine and Deep Learning Engineer

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