List of Open-Source RL Algorithms
By Sergey Kolesnikov, https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#DeepLearning #MachineLearning #ReinforcementLearning
By Sergey Kolesnikov, https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0
#DeepLearning #MachineLearning #ReinforcementLearning
Google Docs
Open-source RL
There are hundreds of free research talks happening online these days.
This site organizes them by date, topic, institution and other categories.
Check out the 100+ offerings in CS: https://researchseminars.org/talks
(v/professors at MitMath) #onlinetalks #seminars #wednesdaywisdom
This site organizes them by date, topic, institution and other categories.
Check out the 100+ offerings in CS: https://researchseminars.org/talks
(v/professors at MitMath) #onlinetalks #seminars #wednesdaywisdom
researchseminars.org
researchseminars.org - Browse talks
Welcome to researchseminars.org, a list of research seminars and conferences!
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
IEEE Spectrum
Yoshua Bengio, Revered Architect of AI, Has Some Ideas About What to Build Next
The Turing Award winner wants AI systems that can reason, plan, and imagine
uergen Schmidhuber: Critique of Turing Award for Drs. Bengio & Hinton & LeCun
@ArtificialIntelligenceArticles
http://people.idsia.ch/~juergen/critique-turing-award-bengio-hinton-lecun.html
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
http://people.idsia.ch/~juergen/critique-turing-award-bengio-hinton-lecun.html
@ArtificialIntelligenceArticles
people.idsia.ch
Critique of Turing Award for Drs. Bengio & Hinton & LeCun
ACM lauds them for work that did not cite the origins of the used methods. But science is self-correcting (Nature 577 p 9, 2020).
AI Paper Summary Video
Paper: BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Video Summary: https://youtu.be/M4rq1Ce6wyM
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
Paper: BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Video Summary: https://youtu.be/M4rq1Ce6wyM
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
YouTube
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (AI Paper Summary)
Paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Link: https://arxiv.org/pdf/1810.04805.pdf
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
Link: https://arxiv.org/pdf/1810.04805.pdf
Summary by Dhruvil Karani (Data Scientist)
B.Eng. (IIT Guwahati)
On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
https://www.youtube.com/watch?v=O9kFX33nUcU
https://www.youtube.com/watch?v=O9kFX33nUcU
YouTube
On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
In this part, we look at the ARC challenge as a proposed test of machine intelligence. The dataset features 1000 tasks that test rapid generalization based on human core knowledge priors, such as object-ness, symmetry, and navigation.
OUTLINE:
0:00 - Intro…
OUTLINE:
0:00 - Intro…
To help practitioners keep fairness considerations at the forefront of their minds, Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness. https://www.blog.google/technology/ai/new-course-teach-people-about-fairness-machine-learning/
Google
A new course to teach people about fairness in machine learning
Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness, which is now available publicly as part of our popular Machine Learning Crash Course
ICYMI: A browser extension that automatically finds code implementations for machine learning papers anywhere on the web (Google, Arxiv, Twitter, Scholar, and other sites)!
@ArtificialIntelligenceArticles
https://chrome.google.com/webstore/detail/mlai-code-implementation/aikkeehnlfpamidigaffhfmgbkdeheil
https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
https://chrome.google.com/webstore/detail/mlai-code-implementation/aikkeehnlfpamidigaffhfmgbkdeheil
https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
@ArtificialIntelligenceArticles
Deep Learning with Keras Series By Ali Masri
1. Deep Learning with Keras Tutorial https://www.marktechpost.com/2019/06/11/deep-learning-with-keras-tutorial-part-1/
2. Data Pre-processing for Deep Learning models https://www.marktechpost.com/2019/06/14/data-pre-processing-for-deep-learning-models-deep-learning-with-keras-part-2/
3. Regression with Keras https://www.marktechpost.com/2019/06/17/regression-with-keras-deep-learning-with-keras-part-3/
4. Classification https://www.marktechpost.com/2019/06/24/deep-learning-with-keras-part-4-classification/
5. Convolutional Neural Networks https://www.marktechpost.com/2019/07/04/deep-learning-with-keras-part-5-convolutional-neural-networks/
6. Textual Data Preprocessing https://www.marktechpost.com/2019/09/13/deep-learning-with-keras-part-6-textual-data-preprocessing/
7. Recurrent Neural Networks https://www.marktechpost.com/2019/10/01/deep-learning-with-keras-part-7-recurrent-neural-networks/
1. Deep Learning with Keras Tutorial https://www.marktechpost.com/2019/06/11/deep-learning-with-keras-tutorial-part-1/
2. Data Pre-processing for Deep Learning models https://www.marktechpost.com/2019/06/14/data-pre-processing-for-deep-learning-models-deep-learning-with-keras-part-2/
3. Regression with Keras https://www.marktechpost.com/2019/06/17/regression-with-keras-deep-learning-with-keras-part-3/
4. Classification https://www.marktechpost.com/2019/06/24/deep-learning-with-keras-part-4-classification/
5. Convolutional Neural Networks https://www.marktechpost.com/2019/07/04/deep-learning-with-keras-part-5-convolutional-neural-networks/
6. Textual Data Preprocessing https://www.marktechpost.com/2019/09/13/deep-learning-with-keras-part-6-textual-data-preprocessing/
7. Recurrent Neural Networks https://www.marktechpost.com/2019/10/01/deep-learning-with-keras-part-7-recurrent-neural-networks/
MarkTechPost
Deep Learning with Keras Tutorial - Part 1
This series aims to introduce the Keras deep learning library and how to use it to train various deep learning models.deep learning
MIDAS: Real-time Streaming Anomaly Detection in Dynamic Graphs (AI Paper Summary)
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
GitHub
GitHub - Stream-AD/MIDAS: Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions…
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Full Stack Deep Learning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Fullstackdeeplearning
Full Stack Deep Learning | Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.