Nilay Chandra Barman (Nilaycb)

Nilaycb

Geek Repo

Location:Dhaka, Bangladesh.

Home Page:https://nilay.xyz

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Nilay Chandra Barman's repositories

Assembly-Language-Lab

# Assembly Language Lab

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CarParko

Car or Vehicle Parking Management System Simulation..

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Labmanob

Labmanob is a hospital management & invoice system. This project comprises a set of technologies and frameworks. The core system is based on server-side technologies, however, it can be run with ease in local computers. All necessary packages have been integrated inside the system for a seamless one-click start-up, usage, and experience.

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Web-Engineering

Web Engineering

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algodatastruct

Data Structures and Operations, Algorithms..

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Artificial-Neural-Network-for-Truth-Tables

Introductory level artificial neural network

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awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

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awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

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coding-interview-university

A complete computer science study plan to become a software engineer.

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Compiler-Design-Lab

Some of the programming problems from Compiler Design Lab

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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Image-Processing-Using-Tensorflow-and-OpenCV

Repo will be published very soon...

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Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

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models

Models and examples built with TensorFlow

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neaten-theme

A simple and responsive theme for your web presence.

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PlantVillage-Dataset

Dataset of diseased plant leaf images and corresponding labels

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Programming-Lab

Random Programming Repository

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Railway-Automated-Platform-Allocation-System

A simple railway automated platform allocation system written in C

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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