• Stars
    star
    15
  • Rank 1,371,379 (Top 28 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 4 years ago
  • Updated about 4 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This is the DL repository for Semantic Segmentation using U-Net model in pytorch library.

More Repositories

1

CannyEdgeDetection-from-scratch-python

This is an implementation of Canny Edge Detection Algorithm in Python without using any library.
Jupyter Notebook
11
star
2

Snapchat-bot-for-android

This is a SnapChat bot for Android mobiles.
Shell
6
star
3

Covid19-Chest-XRay-Analysis

“This repository contains code and results for COVID-19 .”
Jupyter Notebook
3
star
4

Numpy-Open-CV-Basics

Jupyter Notebook
3
star
5

DeepLearning-TensorFlow-Python

Jupyter Notebook
3
star
6

Pandas-Python3.7

This is basic pandas tutorial for Data Analysis
Jupyter Notebook
3
star
7

TwitchPlays-Bot-Python-3.7

This is a twitch bot written in python 3.7. It allows to interact with twitch chat and allows users to interact with game through chat.
Python
1
star
8

Machine-Learning

Basic tutorial of machine learning
Jupyter Notebook
1
star
9

Discord-Bot-python-3.7

This is a discord bot created in python 3.7 for fun.
Python
1
star
10

Named-Entity-Recognition-BERT

This is the repository for doing Entity Recognition using BERT model in Pytorch
Jupyter Notebook
1
star
11

Semantic-Segmentation-using-U-Net

Jupyter Notebook
1
star
12

Covid-19-Tweet-Analysis-Pytorch

Jupyter Notebook
1
star
13

InstagramBot-Selenium-Python-3.7-

This is an Instagram bot created in pytohn 3.7. It allows automated login, follow, unfollow user and like posts. There are also other features which are yet to be added.
Python
1
star
14

Basic-AutoEncoder-for-MURA

Basic Auto Encoder implementations for MURA abnormality detection in X-rays
Jupyter Notebook
1
star
15

Fake-News-Detection-Pytorch

This repository provides basic Deep Learning pipeline written in PyTorch for Fake News Detection. The dataset used was from Kaggle. Model used for the problem are LSTM and Recurrent Convolutional Neural Network.
Jupyter Notebook
1
star
16

SmartCon-A-Basic-Blockchain-Implementation-using-Node.js

SmartCon is a basic blockchian smart contract implementation using Node.js. The front-end of web application is created using HandleBars. For server side Node.js and web framework Express.js is used.
HTML
1
star