Awesome 👏🏻 news from Uber for releasing its code for conversational #AI
It’s called Plato Research Dialog System, and it was released in open source today on GitHub.
Github: https://github.com/uber-research/plato-research-dialogue-system
Blog: https://eng.uber.com/plato-research-dialogue-system/
Plato is designed for both users with a limited background in conversational AI and seasoned researchers. It has a clean and understandable design, integrating with existing deep learning and Bayesian optimization frameworks (for tuning the models), and reducing the need to write code.

(Microsoft) Obj-GAN Turns Words into Complex Scenes

TD;LR
The model is capable of generating relatively complex scenes based on a short phrase. The generator identifies descriptive words and object-level information to gradually refine the synthesized image.

Blog: https://medium.com/syncedreview/microsoft-obj-gan-turns-words-into-complex-scenes-5c6024f0f91d
Paper: Object-driven Text-to-Image Synthesis via Adversarial Training (CVPR 2019) : https://arxiv.org/pdf/1902.10740.pdf
code: https://github.com/jamesli1618/Obj-GAN

Preprocessing for deep learning: from covariance matrix to image whitening
https://hadrienj.github.io/posts/Preprocessing-for-deep-learning/

A very good ebook for ML
https://www.allitebooks.in/machine-learning-with-tensorflow/

GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!

Created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: (link: https://poloclub.github.io/ganlab/)

Research paper: (link: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf)

#AI #artificialintelligenceabout

Machine Learning from scratch!

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran : https://github.com/anhquan0412/basic_model_scratch

#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning

Exploring DNA with Deep Learning
https://blog.floydhub.com/exploring-dna-with-deep-learning/

Real-time Vision-based Depth Reconstruction with NVidia Jetson. arxiv.org/abs/1907.07210

Original Apollo 11 Computer source code

GitHub: https://github.com/chrislgarry/Apollo-11

#Apollo11

A First Look at Quantum Probability, Part 1

Blog by Tai-Danae Bradley : https://www.math3ma.com/blog/a-first-look-at-quantum-probability-part-1

#QuantumProbability #Probability #Mathematics

Quantum Thermodynamics

An introduction to the thermodynamics of quantum information

By Sebastian Deffner and Steve Campbell: https://iopscience.iop.org/book/978-1-64327-658-8

#QuantumInformation #QuantumPhysics #Thermodynamics

The 2019 IEEE Conference on Computer Vision and Pattern Recognition

Best Papers

https://syncedreview.com/2019/06/18/cvpr-2019-attracts-9k-attendees-best-papers-announced-imagenet-honoured-10-years-later/

Free COURSE. CS Deep Reinforcement Learning UC Berkeley

Video Lectures: https://www.youtube.com/playlist?list=PLkFD6_40KJIxJM..

Lecture Material: http://rail.eecs.berkeley.edu/deeprlcourse/

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Video: youtu.be/p1b5aiTrGzY
Paper: arxiv.org/abs/1905.08233

CS234: Reinforcement Learning Winter 2019

playlist : https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u

course: http://web.stanford.edu/class/cs234/index.html