Code for modelling estimated deaths and cases for COVID19
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
GitHub
GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Code for modelling estimated deaths and cases for COVID19. - GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Recent Stanford-offered Covid19 Data Science course!
https://sites.google.com/view/data-science-covid-19
https://sites.google.com/view/data-science-covid-19
Free platform to assist COVID-19 response efforts
https://www.elementai.com/covid-research
https://www.elementai.com/covid-research
Element AI
A shared AI platform with a shared goal.
Thank you for your interest in the Element AI COVID-19 search platform
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Li et al.: https://arxiv.org/abs/2003.13590
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Li et al.: https://arxiv.org/abs/2003.13590
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
This page from Mila - Institut Québécois d'Intelligence Artificielle mention "LambdaZero", which uses MCTS to navigate the space of molecules "to find much better drug candidate molecules and do it very fast": https://mila.quebec/en/ai-society/exascale-search-of-molecules/
I can't seem to find any public info on "LambdaZero".
@ArtificialIntelligenceArticles
Does anybody have information?
Yoshua Bengio?
In the current context this code could save human lives.
https://t.iss.one/ArtificialIntelligenceArticles
I can't seem to find any public info on "LambdaZero".
@ArtificialIntelligenceArticles
Does anybody have information?
Yoshua Bengio?
In the current context this code could save human lives.
https://t.iss.one/ArtificialIntelligenceArticles
Mila
Exascale search of molecules - Mila
Affinity: Deep learning library for molecular geometry
Korablyov et al., Molecular Machines Group, MIT Media Lab: https://affinity.mit.edu
#DeepLearning #DrugDiscovery #TensorFlow
Korablyov et al., Molecular Machines Group, MIT Media Lab: https://affinity.mit.edu
#DeepLearning #DrugDiscovery #TensorFlow
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction
Stepniewska-Dziubinska et al.: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198856/
#DeepLearning #Protein #Binding
Stepniewska-Dziubinska et al.: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198856/
#DeepLearning #Protein #Binding
PubMed Central (PMC)
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction
Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has recently gained…
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Gomes et al.: https://arxiv.org/abs/1703.10603
#MachineLearning #ChemicalPhysics #ConvolutionalNetworks
Gomes et al.: https://arxiv.org/abs/1703.10603
#MachineLearning #ChemicalPhysics #ConvolutionalNetworks
10 Useful ML Practices For Python Developers
https://medium.com/modern-nlp/10-great-ml-practices-for-python-developers-b089eefc18fc
https://medium.com/modern-nlp/10-great-ml-practices-for-python-developers-b089eefc18fc
Medium
10 Great ML Practices For Python Developers
Fast bug-free coding
Hi everybody,
I'm looking for any open source information related to this work by Maksym Korablyov:
"Reinforcement learning for predicting protein-ligand binding position and affinity"
Thank you.
#DeepLearning #DrugDiscovery #ReinforcementLearning
I'm looking for any open source information related to this work by Maksym Korablyov:
"Reinforcement learning for predicting protein-ligand binding position and affinity"
Thank you.
#DeepLearning #DrugDiscovery #ReinforcementLearning
https://spectrum.ieee.org/the-human-os/biomedical/imaging/hospitals-deploy-ai-tools-detect-covid19-chest-scans
https://t.iss.one/ArtificialIntelligenceArticles
https://t.iss.one/ArtificialIntelligenceArticles
IEEE Spectrum
Hospitals Deploy AI Tools to Detect COVID-19 on Chest Scans
Deep learning algorithms can diagnose, triage, and monitor coronavirus cases from lung images. Next, can they predict who will need a ventilator?
Protecting Front line American Healthcare Workers Fighting COVID19: Lessons from South Korea
https://www.youtube.com/watch?v=JtDQkaTXC0A&feature=youtu.be https://t.iss.one/ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=JtDQkaTXC0A&feature=youtu.be https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Protecting Front line American Healthcare Workers Fighting COVID19: Lessons from South Korea
This event is a Q&A session with Dr. Doo Ryeon Chung, MD PhD, Director of Infection Prevention and Control at Samsung Medical Center in Seoul, South Korea. H...
New AI System Translates Human Brain Signals Into Text With Up to 97% Accuracy
https://www.sciencealert.com/new-ai-system-translates-human-brain-signals-into-text-with-up-to-97-accuracy/amp
https://www.nature.com/articles/s41593-020-0608-8
https://www.sciencealert.com/new-ai-system-translates-human-brain-signals-into-text-with-up-to-97-accuracy/amp
https://www.nature.com/articles/s41593-020-0608-8
Nature
Machine translation of cortical activity to text with an encoder–decoder framework
Nature Neuroscience - Makin and colleagues decode speech from neural signals recorded during a preoperative procedure, using an algorithm inspired by machine translation. For one participant...
In-Domain GAN Inversion for Real Image Editing. https://arxiv.org/abs/2004.00049
ICYMI: The paper describes the initial COVID-19 open image data collection
https://www.profillic.com/paper/arxiv:2003.11597
@ArtificialIntelligenceArticles
https://www.profillic.com/paper/arxiv:2003.11597
@ArtificialIntelligenceArticles
CatalyzeX
COVID-19 Image Data Collection: Paper and Code
COVID-19 Image Data Collection. Click To Get Model/Code. This paper describes the initial COVID-19 open image data collection. It was created by assembling medical images from websites and publications and currently contains 123 frontal view X-rays.
Introduction to Reinforcement Learning
By DeepMind : https://youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
@ArtificialIntelligenceArticles
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
By DeepMind : https://youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
@ArtificialIntelligenceArticles
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
YouTube
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
#Reinforcement Learning Course by David Silver# Lecture 1: Introduction to Reinforcement Learning
COVID-19
This repository contains a curated list of resources for constructing mathematical models and doing analysis on COVID-19.
Adwait Naik, GitHub:
@ArtificialIntelligenceArticles https://github.com/addy1997/COVID-19
#AITaskForce #Covid19 #Covid19Resources
This repository contains a curated list of resources for constructing mathematical models and doing analysis on COVID-19.
Adwait Naik, GitHub:
@ArtificialIntelligenceArticles https://github.com/addy1997/COVID-19
#AITaskForce #Covid19 #Covid19Resources
GitHub
addy1997/COVID-19-Resources
Resources for Covid-19. Contribute to addy1997/COVID-19-Resources development by creating an account on GitHub.
https://www.youtube.com/watch?v=V7CY68zH6ps
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning - YouTube
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning - YouTube
YouTube
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
Professor Emma Brunskill, Stanford University
https://onlinehub.stanford.edu/
Professor Emma Brunskill
Assistant Professor, Computer…
Professor Emma Brunskill, Stanford University
https://onlinehub.stanford.edu/
Professor Emma Brunskill
Assistant Professor, Computer…