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  • Apr 06 14:50
    ivandir starred Neuraxio/Neuraxle
  • Apr 05 19:16

    alexbrillant on master

    Fix Broken Community Link, And … Remove Community Broken Link Merge branch 'master' of github… and 2 more (compare)

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    alexbrillant closed #313
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    alexbrillant on master

    Merge branch 'master' of github… Merge branch 'master' of github… Fix Caching Example Import and 1 more (compare)

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Guillaume Chevalier
@guillaume-chevalier
You're welcome! :)
Francis Couture
@brucelightyear
🎉
Guillaume Chevalier
@guillaume-chevalier
@alexbrillant I've reviewed your PR !
@Eric2Hamel I've reviewed yours too !
Neuraxio/Neuraxle#18
Sameroom
@sameroom-bot
[Eric Hamel, Neuraxio Open-Source] Parfait je vais regarder le review
Sameroom
@sameroom-bot
[Karthik, Neuraxio Open-Source] Hello Everyone, thanks @guillaume.chevalier for the collaboration
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] @hikarthikravi You're welcome, thank you!
Sameroom
@sameroom-bot
[Karthik, Neuraxio Open-Source] Yes
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] Hi all, I did another round of code review and I added issues for keeping track of things more easily :)
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] :confetti_ball::confetti_ball::confetti_ball:
I'm proud to announce that Neuraxle's paper has been accepted to the Montreal AI Symposium (MAIS) 2019, organized by Element AI and other people at the MILA, Google, Microsoft and Facebook!
https://montrealaisymposium.wordpress.com/
For anyone interested to attend to this free conference, here is the registration link, you have until August 21 to register:
https://docs.google.com/forms/d/1-kbQLDbGS8ePGvY8L1IQs9HPZJbv-Cc9klebSNESiC0/viewform
I talked to Yoshua Bengio in person last year at that event and had an inspiring discussion with him. I hope that he'll be there again.
:tada::tada::tada:
[Karthik, Neuraxio Open-Source] Wow congratulations @guillaume.chevalier. Also nice that you spoke to Yoshua. Hope you enjoy the conference. I would love to see the conference, but visa and budget problem might push me back. All the very best for the presentation.
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] Thank you @hikarthikravi! I hope to be able to record some of the event and put that on YouTube.
[Guillaume Chevalier, Neuraxio Open-Source] This is the article I wrote after talking to Yoshua, it's unrelated to Neuraxle, but anyway here it is: https://guillaume-chevalier.com/spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp-hebbian-learning/
Sameroom
@sameroom-bot
[Alexandre Brillant, Neuraxio Open-Source] J'ai ouverte une pull request pour le checkpoint pipeline runner
[Alexandre Brillant, Neuraxio Open-Source] Neuraxio/Neuraxle#36
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] Thank you @abrillant23, I left a review. Please also keep this chat in English for contributors.
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] @Everyone Hi all, Neuraxle needs your help. 20 thumbs up are needed on this comment on a pull request for the project to be listed in the Awesome Python list:
vinta/awesome-python#1336
Guillaume Chevalier
@guillaume-chevalier
Hello everyone, we have created a board to add stories and ease the coding workflow here: https://www.pivotaltracker.com/n/projects/2397144
If you're not yet on the board, just ask :)
Guillaume Chevalier
@guillaume-chevalier
For the ones who didn't notice yet, here is our new article:
https://www.neuraxio.com/en/blog/neuraxle/2019/10/26/neat-machine-learning-pipelines.html
Also, we released version 0.2.0 last week!
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.2.2
New release from git tag: 0.2.2
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.3.0
New release from git tag: 0.3.0
Sameroom
@sameroom-bot
[IFTTT]
Neuraxio's ML Blog
A Rant on Kaggle Competition Code (and Most Research Code) https://ift.tt/2ZwmUna
Sameroom
@sameroom-bot
[IFTTT]
Neuraxio's ML Blog
Why Deep Learning has a Bright Future https://ift.tt/2Q7Hbw6
Sameroom
@sameroom-bot
[IFTTT]
Neuraxio's ML Blog
What's wrong with Scikit-Learn. https://ift.tt/36ogN6O
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.3.1
New release from git tag: 0.3.1
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.3.2: Merge pull request #268 from guillaume-chevalier/master
New release from git tag: 0.3.2: Merge pull request #268 from guillaume-chevalier/master
Sameroom
@sameroom-bot
[IFTTT]
Neuraxio's ML Blog
Your Data Scientist is a Mom https://ift.tt/3bYuixb
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.3.3
New release from git tag: 0.3.3
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio Open-Source] :tada:
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.3.4
New release from git tag: 0.3.4
Sameroom
@sameroom-bot

[Guillaume Chevalier, Neuraxio Open-Source] Hello @Everyone!

I'm repurposing this slack workspace to a wider range of possible collaborations:

  • Collaborate with us and other researchers on writing more time series processing papers, in the #research channel;
  • Do business with us and other companies for services and products related to time series processing, in the #business channel;
  • Talk about how to do Clean Machine Learning using Neuraxle, in the #neuraxle channel;

More to come!
:confetti_ball::tada:

Sameroom
@sameroom-bot
[Rob Romijnders, Neuraxio] Hi all! Thanks for inviting me to this channel. Except for Guillaume, I don't know anyone in this channel. What are your backgrounds and research interests?
Sameroom
@sameroom-bot

[Guillaume Chevalier, Neuraxio] Thank you @Rob Romijnders for starting the discussion! Here is an intro:

@Rob Romijnders works a lot with time series, RNNs and seq2seq. I wrote a paper with him in the past about predicting Gaussians as outputs of RNNs to predict basketball trajectories in 3D.
@Moloud Abdar wants to predict confidence intervals and apply to big conferences to then launch a startup as he plans. He also collaborates with other researchers and interns.
@Eric Hamel is coding the TPE algorithm in Neuraxle and he likes Automated Machine Learning (AutoML), I've collaborated with him in the past as well
@Alexandre Brillant is working with me on Neuraxle and on other business R&D projects involving RNNs, we've known each other for 10 years approximately
@ is working on Spiking Neural Networks, and to complete his Ph.D. he'd like to very soone write a paper for the mathematical proof to complete what I've advanced here: https://github.com/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - it is to be noted that this article of mine don't yet have a corresponding paper, and it'd be a good opportunity to finally write a paper about this work I did. Mickael already have improved the hyperparameters, and he'd help a lot in doing the actual writing and publishing.
@Yassine and @Ahmed Abassi created the NEURODATA startup in Tunisia, they'd like to collaborate with me on some research projects, they suggested Kaggle competitions as a starting point.
@JeromeBlanchet loves open-source projects, and we've almost co-founded Neuraxio as well, although distance was a problem at that moment
@ worked for me in a final school project using BERT, and in another business project using seq2seq neural networks.

@Everyone For the other ones whom I didn't introduce, it might be because I don't know you enough. Don't hesitate introduce yourself to us and to tell us what you'd like to do :)

I've also invited more people to this slack recently. I think we would have ways to collaborate on more papers and projects. Note that I see this slack as a good space to communicate and collaborate. This said, don't hesitate to invite anyone who would be interested in working on those projects with us. After discussing more, I'd see people move to private channels or something to collaborate more closely on projects and to avoid spamming everyone here too much.

Sameroom
@sameroom-bot
[Reda EL Hail, Neuraxio] Hello everyone, I am Reda from Morocco, I am an intern at InterDigital R&D in France. I am working on a project about estimating human activity based on Radar's data and I would like to apply RNNs for this purpose.
Sameroom
@sameroom-bot
[Delamare Mickael, Neuraxio] Hello everyone, I am Mickaël from France. I am engineer on mechatronics. I am currently PhD student at Siatech and IRSEEM laboratory i’m working on gesture recognition really interesting about SNN/RNN for this purpose. Looking forward to work together and have idea (bicep emoji).
Sameroom
@sameroom-bot
[Moloud Abdar, Neuraxio] Hi all, my name is Moloud Abdar, a Ph.D. student at Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia. I am working on deep learning and machine learning. I would solve some important real issues with deep learning methods and submit results to very important conferences such as CVPR, NIPS, ICML, ECCV, ICCV, AAAI, ICLR, etc.
Sameroom
@sameroom-bot
[Yassine, Neuraxio] Hi everyone , Yassine Hamdaoui From Tunisia
I'm here to collaborate with @ in some research projects i had experienced many AI fields .. right now i'm working with RL . Tensorflow is my favourite framework .
I suggest also to start with kaggle competitions
We can team up and get engaged with the commy
Sameroom
@sameroom-bot
[Rob Romijnders, Neuraxio] Awesome. I currently work at Google Brain. My research focuses on representation learning from videos. That said, my personal heart lies with Bayesian deep learning. Anyone who want to collaborate on these topics, let's have a chat!
Sameroom
@sameroom-bot
[Imane, Neuraxio] Hello everyone, my name is Imane Lamiche from Algeria, a Ph.D. student at Northwestern Polytechnical University, China. I am working on behavioral biometrics for smartphone authentication, My main focus is to develop efficient time-energy consumption solutions. I would solve some important real issues with deep learning methods and submit results to very important conferences such as CVPR, NIPS, ICML, ECCV, ICCV, AAAI, ICLR, etc.
Sameroom
@sameroom-bot
[Guillaume Chevalier, Neuraxio] Nice to see we're already 25 in this slack! I've created some channels to get more organized. I've quickly invited some people to the channel yet from what I could observe from your introductions, but I haven't invited everyone, so please join the channels that interest you:
• #snn to work on Spiking Neural Networks. I invited @ since he has already started to improve my work. We'd like to do the mathematical proof of my claim that Backprop in SNN engenders STDP with the help of a mathematician, and he could write and publish the paper with his lab or startup.
• #activity-recognition for everything related to LSTMs and Activity Recognition. I've invited @Imane, @, and @Reda EL Hail as you seem directly interested in this topic.
• #bayesian-dl for Bayesian Deep Learning. @Moloud Abdar, @Rob Romijnders and @Yassine you seem to be quite interested in this topic. Let's spark up a discussion in this channel to see how we could collaborate.
[Guillaume Chevalier, Neuraxio] For the others, I'd be interested in knowing what you'd like to do and if you'd join one of those channels (or create new ones!). @Ahmed Abassi @Ayara @Cavan @ @DJ @Eric Hamel @Gude kiran @ @JeromeBlanchet @Karthik @Maxime Leclerc @Nathan Cheever
Sameroom
@sameroom-bot
[Ibrahim Ali Metin, Neuraxio] Hello friends
[Ibrahim Ali Metin, Neuraxio] my profile https://www.linkedin.com/in/ibrahim-ali-metin-5b55a3b3/
[Ibrahim Ali Metin, Neuraxio] I'm very glad to meet you
Sameroom
@sameroom-bot
[Delamare Mickael, Neuraxio] Hello ! :)
Sameroom
@sameroom-bot
[Zishi Wu, Neuraxio] Hello! Hope everyone is safe and healthy in these times. My name is Zishi Wu, I'm a PhD student in Computer Science at the University of Miami in Florida. This summer I am doing an internship with an insurance company and my team is trying to use machine learning models to forecast the quantity and cost of insurance claims. Last year I took a linear regression class where the book examples had pre-curated datasets containing 50 data points each and the prediction errors were normally distributed. This new task I am faced with is way more difficult because the data is not normally distributed and contains many extreme values. The regression models I've tried thus far (ridge regression and gradient boost) have consistently outputted predictions that underestimate or overestimate the extreme values. Linear regression models and their variations, which assume the errors to be independent and normally distributed, are failing big time. I think either a finely tuned XGBoost or neural network model should do, but I am looking for a robust pipeline for finding the optimal hyper-parameters of such models. I stumbled upon Neuroaxio when I was reading about sklearn pipelines on Stackoverflow and found an article "What's Wrong with Sklearn Pipelines". I'm very intrigued by this Python package and want to try it out for my project. However, I have no previous experience deploying production level machine learning models. There seems to be a lot of companies who are pitched solutions to quickly create and deploy machine learning models. Can someone explain to a beginner like myself: what's the difference between Neuroaxio and other companies products such as H2O.ai, fast.ai, Databricks AutoML, DataRobot, and a bunch of other companies whose names I just haven't heard of yet?
Sameroom
@sameroom-bot
[IFTTT]
New release from git tag: 0.4.0: Merge pull request #308 from alexbrillant/issue-236
New release from git tag: 0.4.0: Merge pull request #308 from alexbrillant/issue-236