Programmers Buddy
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This channel is created to build a better community for all the peoples who are interested in programming, coding and who wanted to learn new technologies.

YouTube channel - https://www.youtube.com/channel/UCSY7giAIObL7RkR6r-numiQ
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Machine Learning A-Zβ„’: Hands-On Python & R In Data Science

Free For Limited Time

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

https://tricksinfo.net/machine-learning-a-z-hands-on-python-r-in-data-science/
Python Quarantine Projects

Don't forget to subscribe to the channel for more awesome Projects

https://www.youtube.com/c/GetSetCoding47

We have created 30+ Projects using python in the Quarantine time in just 30 days

Join Us here
https://github.com/Arbazkhan4712/Python-Quarantine-Projects

Also follow me on Github for many upcoming projects
Link: https://github.com/Arbazkhan4712

1. Face Recognition Attendance with AWS Rekognition & Raspberry Pi3

Description: It is a Face Recognition Attendance with Python, AWS Rekognition & Raspberry Pi3 with Button and Motion sensor functionality

Project Link: https://github.com/Arbazkhan4712/Face-Recognition-Attendence-with-AWS-Rekognition-Raspberry-Pi3

2. Face Recognition Door Lock with AWS Rekognition & Raspberry Pi3

Description: It is a Face Recognition Door Lock with Python, AWS Rekognition & Raspberry Pi3 with Button and Motion sensor functionality

Project Link: https://github.com/Arbazkhan4712/Face-Recognition-Door-Lock-with-AWS-Rekognition-Raspberry-Pi3

3.Text To Speech

Description: It is a simple Text To Speech using python

Project Link: https://github.com/Arbazkhan4712/Text-To-Speech

4.Speech To Text

Description: It is a simple Speech To Text using python

Project Link: https://github.com/Arbazkhan4712/Speech-To-Text

5. Wallpaper Changer using Python and Unsplash

Description: It is an automated Wallpaper changer using Python and Unsplash that will download HD wallpapers and change it automatically after time interval

Project Link: https://github.com/Arbazkhan4712/Wallpaper-Changer-using-Python

6.PDF & Image Text Reader That can Speak using python, pyttsx3 & Tesseract

Description: It is a PDF & Image Text Reader That can Convert the text of a PDF to Voice

Project Link: https://github.com/Arbazkhan4712/PDF-Reader-with-Voice

7.Voice Translator using Python

Description: It is a Voice Translator using Python that can convert your voice to any other language

Project Link: https://github.com/Arbazkhan4712/Voice-Translator

8. News updater with Voice

Description:- It Voice news Updater that will update you about the latest news every hour

Project Link: https://github.com/Arbazkhan4712/News-Updater

9. GitHub Repo Automation

Description:- It can create a repo with just a command using GitHub API

Project Link: https://github.com/Arbazkhan4712/GitHub_Auto

10.Gesture Control Media Player

Description: It is a gesture control media player using python and open cv

Project Link: https://github.com/Arbazkhan4712/Gesture-Control-Media-Player
Project Name : CORONA-VIRUS-COUNTRY-STATUS

Language Used : Python

Description : Get corona virus real-time count of a country through Email.

Video Link : https://youtu.be/aG-j5FMTJAc

Project Link : https://github.com/smahesh29/CORONA-VIRUS-COUNTRY-STATUS

βž– @programmers_buddy βž–
πŸ“ How to Generate Images of Handwritten Digits using DCGAN

https://morioh.com/p/28fd0b611e09
Github link of "AI DeOldify Tool":

https://github.com/jantic/DeOldify?fbclid=IwAR2-glzM1UYuWHJWuNKi741bm8aeofZdE1-0v9ZN-6Lmlmh4ta63mn5ydZc


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Masked face recognition dataset

Wolrd’s most complete Masked Face Recognition Dataset is Free to Download:

https://medium.com/the-programming-hub/wolrds-most-complete-masked-face-recognition-dataset-is-for-free-10d780eed512

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New #TFHub tutorials page!

Explore the object detection, text classification, and image generation tutorials runnable with GoogleColab


Check it out β†’https://www.tensorflow.org/hub/tutorials
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network

Extensive empirical evaluation demonstrates the effectiveness of our proposed method over competitive baselines and existing arts. In particular, our method is able to surpass the baseline with only 20% of the labelled examples used to train the baseline..

Github: https://github.com/justin941208/MatchGAN

Paper: https://arxiv.org/abs/2006.06614v1