[Guillaume Chevalier, Neuraxio Open-Source] Hello @Everyone!
I'm repurposing this slack workspace to a wider range of possible collaborations:
More to come!
[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.
[Guillaume Chevalier, Neuraxio] Hello @Everyone ! I'm presenting on Machine Learning's Design Patterns and Clean Code at the CAMDEA Digital Forum where I'll show some neat tricks.
You can register to the webinar here:
[Guillaume Chevalier, Neuraxio] Hi @Antoine Tremblay ! I'm glad that you enjoyed our Clean Machine Learning training back in March, and that it is solving practical business problems for you and your team. Note that at Neuraxio, we can offer some coaching on the side of our other activities if you'd like us to prepare you a plan : Computer Vision is not our main focus, although I've personnaly worked on 5+ (if not 10) Computer Vision projects and that we have the capacity to offer you a detailed plan/design for your pipeline, that your internal ressources & employees could implement. You can write to me in private to request a few coaching hours as such.
In case you missed my last conference in mid-September, here is the recording link. Note that it is completely different than the Clean Machine Learning Training you attended in March: