Discover @dPacc Open Source projects

Deepak (@dPacc)

dPacc

Stars
54
Global Rank 323,221 (Top 12 %)
Followers 47
Following 106
Registered almost 7 years ago
Most used languages

Jupyter Notebook
32.0 %

JavaScript
28.0 %

Python
24.0 %

Go
4.0 %

TeX
4.0 %

HTML
4.0 %

TypeScript
4.0 %
Location 🇦🇪 United Arab Emirates
Country Total Rank 447
Country Ranking

TeX
13

Jupyter Notebook
54

Go
117

Python
243

JavaScript
254

HTML
264

TypeScript
416

Deep-Learning

To solve problems in Deep-Learning using ANN, CNN, RNN, Self-Organizing-Maps, Boltzmann Machines and AutoEncoders

Jupyter Notebook

ComputerVision

Basic Image processing techniques using OpenCV. Object detection and segmentation using SSD, Mask-RCNN and Yolo V2

Jupyter Notebook

Deep_Learning_Masterclass

In-depth Deep-Learning from scratch

ecommy

An e-commerce application built with ExpressJS, ReactJS, MongoDB & Firebase Authentication

Machine-Learning

Using Regression, Classification, Clustering and Association-Rule Learning for solving several Machine-Learning problems. Dimensionality-Reduction techniques like PCA, LDA and Kernel-PCA

Jupyter Notebook

ReflexML

ReflexML automates your Machine-Learning. Right from performing your EDA to Model Building

netflix

A Netflix clone built with React, Firebase and Firestore

koala

A data manipulation library

kafka

The only guide you need to learn Apache Kafka

KerasDLWebApp

An End-to-End Deep-Learning Web Application for Cat/Dog Prediction using Keras with Tensorflow Backend.

Jupyter Notebook

DLonKubernetes

A Deep Learning model served as a REST API using Flask, Docker for containerization and Kubernetes for orchestration on GCP

YelpCamp

A Web Application for Hosting/Finding Campgrounds using Node.js

ML_Web_Apps

A wide range of Machine Learning Models served as Web-Apps using Flask. (MLaaS)

Jupyter Notebook

Web_Dev_Practice

Learning the fundamentals of Web Development

Jupyter Notebook

AnDS

Jupyter Notebook

kafka-ml

Jupyter Notebook

CodingChallenges

dPacc

go-api

crypto-picker

posts-microservice

A simple micro-service built with custom event streaming platform

Accentue

An application to Highlight sentences/word in a PDF.

SSD

A Single Shot Detector with the MobileNet Architecture

tik-tok

hadoop

Hadoop installation tutorial

bookme

A ticket booking micro-service built using TypeScript, ExpressJS, NextJS, MongoDB, Redis, Jest, NATS, Docker, and Kubernetes

GCP

Packaging a Python application to run on GCP

mongoviz

MongoViz is a command-line tool designed to generate Entity-Relationship Diagrams (ERD) from Mongoose models in your Node.js applications. It helps visualize the relationships between the database schemas defined in your MongoDB using Mongoose.