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Data Science



@opendatascience
25.11K +9

First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @opendatasciencebot


PPD: 0.12, PV: 7209, DV: 842, ERR: 28%

TOP channels

Telegram News


@telegram
3.05M -710

The official Telegram on Telegram. Much recursion. Very Telegram. Wow.

Computer™


@WINCOMPUTER
93.64K +43

Computer Softwares And Games Plus Hacks And Tricks 🐣 ⭐️🌟 🌟 🌟 🌟

Google Camera Port Updates


@googlecameraport
78.64K +291

Notification channel for new apks posted on https://www.celsoazevedo.com/files/android/google-camera/ . Disclaimer: This is not the official Google Camera, files are created by various devs, I cannot assure you they are safe. Use at your own risk.

Paytm Loot Updates


@paytmlootupdates
64.30K +81

Latest Tricks, Latest Offer, Unlimited Tricks, Loot Offers, Online Refer Script, Otpbypass Tricks, App Promotion / Channel Promotion Contact Admin :- @technotyboy

Software N Application


@software_application
62.65K +109

Software atau Application untuk komputer dan smartphone terkini. Software adalah untuk Windows sahaja.

Tech Guide


@TechGuide
62.12K +77

Android, iOS, Windows, Computer related Tips, Tricks, Guide & News. Paid Promotion: @DrDigit Partnership: https://telegramguide.com

Latest publications

844

​​Using open repositories to create ageing mirror

@Genekogan on Twitter reported working on a prototype, which is capable of #aging person's image in real time, developing the trend started by #FaceApp

Github: https://github.com/genekogan/glow/
Client: https://github.com/genekogan/ofxRunway

#GAN #DL #CV #WIP


20:08 22.10.19
1083

Gentle reminder about first historical Munich Data Science #meetup on Oct 24th jointly with LMU

https://www.meetup.com/Munich-Data-Science/events/265339172/


20:08 22.10.19
4347

14:02 21.10.19
4743

Applying deep learning and Tensorflow to improve brain MRI images quality

Taking brain MRI images is complicated procedure as the orientation, location, and coverage needs to be correct in all three spatial dimentsions. The quality and consistency of positioning and orientation of the slices relies heavily on the skill and experience of the scan operator. This process can be time-consuming and difficult, especially for complex anatomies. As a result, there can be inconsistencies from scan operator to scan operator. This lack of consistency can make the job of the radiologist in interpreting these images more difficult especially when a patient is being scanned as a follow up to previous MRI exam and they are trying to identify subtle changes in anatomy or disease progression over time.

The researchers from GE Healthcare Magnetic Resonance Imaging team developed an approach to aid the scan operator. The approach is based on 3 deep neural networks, can be adopted to take MRI images of the other body parts and achieves 99.2% accuracy score. The researchers notice that Tensorflow significantly helped them to develop and deliver the approach to the production.

Medium article: https://medium.com/tensorflow/intelligent-scanning-using-deep-learning-for-mri-36dd620882c4
GE Helthcare website: https://www.gehealthcare.com

#Tensorflow #medicine #casestudy #DL #CV


09:09 21.10.19
6763

🎓 Reinforcement Learning Course from OpenAI

Reinforcement Learning becoming significant part of the data scientist toolbox.
OpenAI created and published one of the best courses in #RL. Algorithms implementation written in #Tensorflow.
But if you are more comfortable with #PyTorch, we have found #PyTorch implementation of this algs

OpenAI Course: https://spinningup.openai.com/en/latest/
Tensorflow Code: https://github.com/openai/spinningup
PyTorch Code: https://github.com/kashif/firedup

#MOOC #edu #course #OpenAI


09:09 17.10.19
6905

ODS breakfast in Paris! See you this Saturday (19th) at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.


12:12 16.10.19
6997

​​Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

#GAN that generates near-real #histology images according to a Turing test with 4 pathologists. The results can be used for training #DL models for detecting rare histological patterns.

ArXiV: https://arxiv.org/abs/1910.05827
Code: https://github.com/BMIRDS/HistoGAN

#CV #healthlearning #biolearning #medical


09:09 16.10.19