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Speeding up DQN on PyTorch: how to solve Pong in 30 minutes
In this article we take DQN on PyTorch and try to speed it up using Pong game as a benchmark. After several not very complicated steps, we’ll get more than 3 times speed up.
pytorch  reinforcement-learning  atari  deep-learning  pong 
11 hours ago
Brewing up custom ML models on AWS SageMaker – Towards Data Science
I recently fell in love with SageMaker. Simply because it is so convenient! I really love their approach hiding all the infrastructural needs from the customer and letting them focus on the more…
sagemaker  model  docker 
11 hours ago
Twitter
Let’s all take a moment to give thanks for the beautiful life of Aretha Franklin, the Queen of our souls, who inspi…
yesterday
Twitter
RT : Polls are now officially open for the primary. Voters have until 8:00 p.m. tonight to cast their ballo…
Connecticut 
3 days ago
Rules of thumb for Deep Learning – Hacker Noon
With my few years of experience in training and using various available open source model networks, I have learned the hard way of setting various hyper parameters and using them efficiently. I have…
deep  learning  rules  of  thumb  dimensionality 
5 days ago
Learn ML Algorithms by coding: Decision Trees – Lethal Brains
The intention of this series, Learn ML Algorithms by coding, is to understand the intricacies of popular machine learning algorithms by coding them from scratch.
python  decision  tree 
5 days ago
Drake — Using Natural Language Processing to understand his lyrics
Every couple of years there is an artist who seems to take the world by storm. In the past, this has been The Beatles and Michael Jackson, among others. These artists have the intrinsic ability to…
python  nlp  drake  lyrics  algorithms  tableau 
5 days ago
Getting started with graph analysis in Python with pandas and networkx
Graph analysis is not a new branch of data science, yet is not the usual “go-to” method data scientists apply today. However there are some crazy things graphs can do. Classic use cases range from…
python  graph  analysis  networkx  pandas 
5 days ago
What’s New in Deep Learning Research: Microsoft’s TextWorld is the OpenAI Gym of Language Learning…
Conversational interfaces and natural language processing(NLP) are, arguably, the most widely adopted segment of modern artificial intelligence(AI). Despite the continuous progress in NLP research…
textworld  reinforcement  learning  text  based  game  zork 
7 days ago
Reinforcement Learning: Basic Tic-Tac-Toe Implementation
Reinforcement learning puts idea of gaining maximum reward after performing some action from environment. This learning method is very different from common machine learning methods such as…
ml  ai  reinforcement  learning  tictactoe  python 
7 days ago
Modern Game Theory and Multi-Agent Reinforcement Learning Systems
Most artificial intelligence(AI) systems nowadays are based on a single agent tackling a task or, in the case of adversarial models, a couple of agents that compete against each other to improve the…
marl  multi  agent  reinforcement  learning  game  theory 
7 days ago
jsn5/dancenet: DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
dancenet  ml  ai  keras  dance  generator 
7 days ago
Twitter
Microsoft’s undersea data center now has a webcam with fish swimming past 27.6 petabytes of data…
8 days ago
Twitter
We're experimenting with using jupyter to develop much of the upcoming fastai_v1, including the docs, using a mix o…
9 days ago
Twitter
new ML blog post up with learnings/data viz from 's great practical DL course…
11 days ago
Playing ATARI with 6 Neurons | Open Source Code – Towards Data Science
The doors this paper unlocks for the machine learning community are amazing. The tiny network actually plays Atari game with only 6 neurons comparable and occasionally superior making the previous…
openai  atari  neural  network 
11 days ago
Top Artificial Intelligence trends in 2018-You Should Consider For AI & Machine Learning…
Artificial Intelligence; possibilities of AI are innumerable and they easily surpass our most artistically fecund imaginations. We are really close to living in some sort of sci-fi, so it’s a good…
2018  ml  ai  trends 
11 days ago
Text Classification Simplified with Facebook’s FastText
Shameless plugin: We are a machine learning data annotation platform to make it super easy for you to build ML datasets. Just upload data, invite your team and build datasets super quick. This blog…
fasttext  facebook  sentiment  analysis  analytics 
12 days ago
Making the Most of Flutter: From Basics to Customization
Open-source SDK Flutter offers developers a way to readily deploy custom user interfaces for Android and iOS apps — once you know how to optimize its features. For developers, software development…
flutter  deep  dive  customization 
12 days ago
A Guide to Pandas and Matplotlib for Data Exploration
Inline indicates to present graphs as cell output, read_csv returns a DataFrame, the file path is relative to that of your notebook. Often when dealing with a large number of features it is nice to…
pandas  seaborn  auto  data  visualization  charts 
13 days ago
Mastering the mystical art of model deployment – Julien Simon – Medium
With all the talk about algorithm selection, hyper parameter optimization and so on, you could think that training models is the hardest part of the Machine Learning process. However, in my…
ml  ai  deployment  operationalization  a/b  blue  green 
13 days ago
8 Ways To Set Up A Data Team for Success – Towards Data Science
We are living in the golden age of Data Driven Organizations. Algorithms! Big Data! Why, you’ve probably even got a Data Scientist or two! But… If your data people are spending most of their time…
data  science  team  building  tips 
13 days ago
StyleURL - share CSS tweaks instantly
StyleURL lets you export & share CSS changes directly from Chrome DevTools. Get StyleURL for Chrome
CSS  chrome  extension  bwg-links  clients  design  development  google-chrome  share  webdev 
13 days ago
Mac crontab: Creating MacOS startup jobs with crontab, er, launchd | alvinalexander.com
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>Label</key> <string>com.alvin.crontabtest</string> <key>ProgramArguments</key> <array> <string>/Users/al/bin/crontab-test.sh</string> </array> <key>Nice</key> <integer>1</integer> <key>StartInterval</key> <integer>60</integer> <key>RunAtLoad</key> <true/> <key>StandardErrorPath</key> <string>/tmp/AlTest1.err</string> <key>StandardOutPath</key> <string>/tmp/AlTest1.out</string> </dict> </plist>
cron  launchd  macos  automation  launchctl  mac  bash  commands  crontab  gasmask 
13 days ago
Twitter
Buzz Lightyear’s Honda PC800 Pacific Coast lives near me and it’s so good
14 days ago
Twitter
The deficits under Trump are the highest in American history. The national debt is over $21 Trillion and the highes…
16 days ago
How to autoencode your Pokémon – Hacker Noon
This week, my adventures with deep learning introduced me to the concept of autoencoders. And with the help of my Pokemon, I am going to teach you a little about autoencoders!
autoencoders  deep_learning  Machine_learning  pokemon 
19 days ago
GraphFrames in Jupyter: a practical guide – Towards Data Science
Graph analysis, originally a method used in computational biology, has become a more and more prominent data analysis technique for both social network analysis (community mining and modeling author…
graphframes  jupyter  graph  db  analysis  python  pyspark  spark 
20 days ago
Amazon SageMaker: summing up 6 months of customer meetings
Amazon SageMaker was launched at re:Invent 2017 about 6 months ago. Since then, I’ve discussed with a lot of AWS customers how this new Machine Learning service could help them solve long-lasting…
sagemaker 
20 days ago
How To Scale Your Machine Learning Pipeline – Towards Data Science
This article presents the easiest way to turn your machine learning application from a simple Python program into a scalable pipeline that runs on a cluster. Some of the functions in your application…
python  data  science  pipeline  process  luigi  docker  kubernetes 
20 days ago
[D] GANs used in production? : MachineLearning
Upvoted: Does anyone use GANs in production, or as part of the training process of a production ML model (maybe as a data augmentation tool, or to train the descriminator (the generator is later thrown out)?While very cool, the difficulty in training and the newness makes me think that they aren't used in production at all (yet?), but I figured I would ask. via /r/MachineLearning
IFTTT  reddit 
24 days ago
850k Images in 24 hours: Automating Deep Learning Dataset Creation
Normally this computer vision adventure would start with the protagonist scouring the internet to find dataset owners. These individuals have already gone through the trouble of amassing a large…
image  collection  car  data  set  web  scraping 
24 days ago
garrowat/zenobot: AI proverb generator, trained on 2000 proverbs using a FastAI, PyTorch LSTM model. Converted to run on CPU for inference.
AI proverb generator, trained on 2000 proverbs using a FastAI, PyTorch LSTM model. Converted to run on CPU for inference.
fastai  deployment  service  proverb  generator  pytorch 
24 days ago
CatGAN: cat face generation using GANs – Hacker Noon
I’ve recently been reading up on Generative Adversarial Networks (GANs) and I knew that I had to come up with an interesting way to use it. It was then that I noticed all the buzz about the Quick…
gan  cat  generate  sklearn 
24 days ago
QuickStart a Gatsby Application Using a Headless CMS API
Using a headless CMS API has many advantages, namely time and ease of getting your application up and running while giving your cross-functional team the tools they need to get their job done. Cosmic…
headless  cms  blog  site  hosting  selfhosted  gatsby  cosmicjs  react 
24 days ago
Twitter
ASCII art without the modem noises.
25 days ago
wannabeOG/Mask-RCNN: A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
pytorch  python  dl  ml  rcnn 
26 days ago
NYC3DCars
NYC3DCars - A dataset of vehicles in geographic context.
dataset  cars  nyc  placement  3d  geographical  bounding  model  trained 
26 days ago
Twitter
I've also had tour boats cancel our of East Coast harbors with just the threat of a storm. Maybe more resp…
27 days ago
Twitter
I've had great experiences on duck boats. Never once felt unsafe, and Boston duck boats run every day with…
27 days ago
A Connecticut Hot Dog Trail? Your Guide to the Best Dogs in CT
A lot of people scour Connecticut looking for the best hot dog. We've gathered the best ones here so that you don't have to put in the legwork yourself!
ct  hot  dog  food 
27 days ago
Flight videos deconstructed
Youtube videos of flying animals, turned into colorful flight patterns.
science  biology  infographic  design 
28 days ago
Untitled (http://a.co/3Xeb5z2)
Added to the list. My light vaca reading is , I'll start that after ;)
28 days ago
Twitter
I tried his course last year and couldn't follow. I'm many more math courses and ml course…
28 days ago
Twitter
Recently completed deep learning lesson one, the outside in approach after a number of inside out approa…
28 days ago
Twitter
RT : The fox I planted last year is coming along nicely.
4 weeks ago
Twitter
If you're on the Trump national security team, and you've been out there saying how strong Trump is on Russia and h…
4 weeks ago
The 50 Best Free Datasets for Machine Learning - Gengo AI
What are some open datasets for machine learning? We at Gengo decided to create the ultimate cheat sheet for high quality datasets.
data  machinelearning  AI  datasets  dataset  machine-learning  via:popular  reference  data-sets  economy 
4 weeks ago
No, Machine Learning is not just glorified Statistics
This meme has been all over social media lately, producing appreciative chuckles across the internet as the hype around deep learning begins to subside. The sentiment that machine learning is really…
statistics  ai  artificialintelligence  datascience  machinelearning  ml  rstats  Unread 
4 weeks ago
[Theory] Some results concerning string embeddings.
In this article, we prove a couple lemmas about existence and uniqueness of injective maps from sequences to sequences. These may seem a bit far from the CS area of study, but they have applications…
string  embedding  math  neural  network 
4 weeks ago
Automated Machine Learning Hyperparameter Tuning in Python
Tuning machine learning hyperparameters is a tedious yet crucial task, as the performance of an algorithm can be highly dependent on the choice of hyperparameters. Manual tuning takes time away from…
machine-learning  bayes  hyperparameter-tuning  python 
4 weeks ago
Top 5 Mistakes of Greenhorn Data Scientists – Towards Data Science
You prepared well to finally become a Data Scientist. You participated in Kaggle competitions and you binge watched Coursera lectures. You feel prepared, but the work as a real-life Data Scientist…
machinelearning 
4 weeks ago
AdeelMufti/WorldModels: Full World Models Implementation in Chainer
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
chainer  model  world 
4 weeks ago
Twitter
Check out 8 year old in their “Living Code” streamed online video tutorial! This is Part 6 of a multi…
5 weeks ago
Twitter
Both Texas and Maine take on more federal funding than they provide. The US bank…
5 weeks ago
facebookresearch/QuaterNet: Proposes neural networks that can generate animation of virtual characters for different actions.
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
facebook  human  neural  network  animation  generation 
5 weeks ago
uber/pyro: Deep universal probabilistic programming with Python and PyTorch
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
python  machinelearning  deeplearning  ml  pytorch  statistics  ai  bayes  probabalistic  probability 
5 weeks ago
anudeepND/pihole-unbound: Guide to setup Unbound recursive DNS resolver with Pi-Hole
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
pihole  unbound  dns  privacy  recursive 
5 weeks ago
The 7 NLP Techniques That Will Change How You Communicate in the Future (Part II)
In part 1, I introduced the field of Natural Language Processing (NLP) and the deep learning movement that’s powered it. I also walked you through 3 critical concepts in NLP: text embeddings (vector…
nlp  techniques  rnn  neural  network  layers  combined 
5 weeks ago
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