Media
r/MachineLearning - [Project] I made a dashboard for auto machine learning
For the dashboard itself I used Dash a python framework for web application. All the styling is done with some css (I am definitely not an expert in that though it was new for me!). Graphs are done with plotly express (again with some css styling) . The hardest part was to adapt my machine learning code part to the dash board, split pipelines etc. And understand all the callback functions etc to make it work interactively!
r/deeplearning - Is there a viable deep learning platform for python that can utilize an AMD GPU (5700xt) on Windows 10?
I think I am going to echo what has been said. Windoze is not going to cut it. I know you don't want to do Linux for whatever reason; I am/was hardcore Mac and really wanted to find a way to do GPU work in MacOS. However, after playing with POP!_OS and doing some work there, I've come to quite enjoy it. I'm now looking at building an all AMD machine with POP! just as a test bed for the ROCm stuff; I am just quirky that way.
Online Pie & AI: Istanbul - Law in the age of AI
This event is hosted by Bahcesehir University, Istanbul Bar Association and deeplearning.ai's We continue to work as we targeted by trying to minimize the impact of the challenging process since the beginning of 2020 on our motivation. In this regard, we will realize the activity we planned on May 8, 2020, in a virtual environment. The program, which is planned to be broadcast on the YouTube Channel in one panel, is organized in cooperation with the Istanbul Bar Association, Bahรงeลehir University, and the deeplearning.ai About the event: Participants will be discussed on AI and Social Effects, Risks, and Advantages, A Roadmap for Developing Countries.
This Software Can Make Kanye West Rap Eminem's 'Lose Yourself'
We have taught computers to do some amazing and horrible things, as a species. But nothing summarizes both of these facets quite like a machine-learning-generated snippet of Kanye West rapping Eminem's "Lose Yourself" with what sounds like a mouthful of stockpiled quarantine Nutella. This is just one example of the thousands of cursed yet compelling song snippets generated by Jukebox, machine learning software developed by independent research organization Open AI and released to the world on Thursday. The fine details (which you can read in an accompanying paper) are complicated but the general idea is the researchers trained machine learning models capable of parsing music on audio from more than 1 million songs pulled from the web. From this fuzzy internal picture of what constitutes listenable music, Jukebox generates new songs in various genres and in the style of specific artists.
These pop songs were written by OpenAI's deep-learning algorithm
Old songs, new tricks: Computer-generated music has been a thing for 50 years or more, and AIs already have impressive examples of orchestral classical and ambient electronic compositions in their back catalogue. Video games often use computer-generated music in the background, which loops and crescendos on the fly depending on what the player is doing at the time. But it is much easier for a machine to generate something that sounds a bit like Bach than the Beatles. That's because the mathematical underpinning of much classical music lends itself to the symbolic representation of music that AI composers often use. Despite being simpler, pop songs are different.
Now Artificial Intelligence can compose a song on its own
Hyderabad: The field of Artificial Intelligence is moving forward in breakneck speed with major breakthroughs taking every passing day. Earlier this week on Wednesday, the Business Insider India website reported that a website known as Imgflip built a meme generator called'This Meme Does Not Exist', which harnesses the power of machine learning to generate new memes by using 48 most popular meme templates and creating new captions at the click of the mouse. On Thursday, OpenAI, a San Francisco-based research laboratory, unveiled Jukebox, a neural network that can create music, along with lyrics and vocals, as per a blog published on the research lab's official website. The researchers at the OpenAI lab trained multiple machine learning models that were fed with a dataset of over 1.2 million songs over made by combing through the web, which were then paired with their corresponding lyrics and metadata that includes the name of the artist, genre of the album, year of release, along with the playlist keywords linked to the song and the common moods. It then performs data augmentation by downmixing the right and left channels randomly to produce Mono audio.
How China uses its massive surveillance apparatus to track its citizens, keep them in line
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Get all the latest news on coronavirus and more delivered daily to your inbox. China has amassed a vast collection of information about its people in recent years as the Chinese Communist Party continues to deploy its surveillance apparatus to exercise control over its 1.4 billion inhabitants at the expense of privacy. In recent years, China has spent billions to purchase the latest technology like facial recognition, artificial intelligence and other digital technologies to add to its network of monitoring systems.
Robotics Expert Breaks Down 13 Robot Scenes From Film & TV WIRED
Chris Atkeson, a professor at the Robotics Institute at Carnegie Mellon University, watches more scenes featuring robots from movies and television and continues to break down how accurate their depictions really are. Does Hal from "2001: A Space Odyssey" hate humans? Would robots speak to each other like R2-D2 and C-3PO in "Star Wars"? Still haven't subscribed to WIRED on YouTube? http://wrd.cm/15fP7B7 Get more incredible stories on science and tech with our daily newsletter: https://wrd.cm/DailyYT
r/MachineLearning - [Project] Resources to learn to implement deep learning papers
This might be somewhat more specific to deep RL, but I am sure that there is plenty of information for reproducing generic ML models too. Some papers are quite easy to reproduce, such as the VAE, GAN, flow networks, and of course standard deep nets such as Resnet. Figure out what papers you like, start working on the code, and when you are done (or if you are stuck) look at repositories online that most likely do it much better/efficient and learn from that. Oh small edit: always start experimenting on small data sets, make sure that your implementation works on even the easiest toy example.
Ryanair to Cut up to 3,000 Jobs, May Day Looks Different
Some cafes put dressed mannequins in poses as if they were buying products or sipping coffee at counters in their empty businesses. In towns from north to south, many small business owners on Friday stood at a safe distance from each other on the sidewalk or in town squares, their shuttered stores or restaurants behind them, wearing black masks and holding placards highlighting their economic troubles. On Monday, restaurants and cafes can start offering takeout. Non-essential shops can reopen on May 18 if Italy's rate of contagion with COVID-19 doesn't sharply rise again.