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    KABIRI Abdeslam
    @Abdeslam_Kabiri_twitter
    Hello
    I'm very happy to be with you on this platform, thank you for adding
    faizaniitm
    @faizaniitm
    Hello All. I am new to the group.
    ashref83
    @ashref83
    Hello, i am from abu dhabi and completed amd online course in pytorch and deep learning. Thank you for this group and content
    Na Li
    @lindalibjchn
    hello everyone
    Paras Jain
    @paras-jain
    Hi all! I hope everyone is safe and in excellent health, looking forward to learn with you all. Currently working on Mantisshrimp and on leveraging Deep Learning for understanding Social Network dynamics. I am fairly new to Deep Learning and excited to learn.
    Ashish Lepcha
    @vortexash
    hello everyone
    Danielh Francisco Mendez Carranza
    @DanielhCarranza
    Hi all, I'm Danielh from Mexico, I attended the last awesome FSDL Bootcamp. I built a template for ML Projects, that is based on lessons learned from FSDL. Hope it helps you with the management of your ML Projects. https://www.notion.so/ML-Project-aaf4a1184312488484318d300bbe15ef
    4 replies
    StupidmanTan
    @StupidmanTan
    Hi there
    Vijin KP
    @vijinkp
    Hi everyone.
    Jacques Thibodeau
    @JayThibs
    Hey, I wanted to start working on the lab, but it seems that the access code is only for the people in the in-person classes. I'm assuming I will need to find another way to get access to W&B?
    2 replies
    Josh Tobin
    @josh_tobin__twitter
    I'm starting a wishlist of things to add to FSDL online v2.0. feel free to suggest other topics (or let us know which ones you care most about) here: full-stack-deep-learning/course-gitbook#4
    Vijay Reddy
    @Vijaybahu_gitlab
    Hi All
    David AR
    @davichoar
    Hello everyone :)
    Seb
    @SebStrug
    Thanks for making this available, really enjoyed the first section 'Setting up Machine Learning Projects'. Are there any recommendations on how to do the labs - one per section or just view it as separate to the lectures?
    2 replies
    Servando Torres
    @Servando1990
    thank you very much for making this happen FSDL team! I'm looking for resources on ML projects within a Scrum frmework
    3 replies
    Abhik
    @Abhik-hazra
    Hi Everyone
    Stephanie Sher
    @ssgoob
    For anyone paying attention to the recent debate around bias in PULSE (Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models), check out this response by Sasha Sheng of Facebook AI: https://medium.com/@sashasheng/improving-pulse-diversity-in-the-iterative-setting-83ce9231dde4
    2 replies
    Sergey Karayev
    @sergeyk
    Recently came across the Model Card concept, want to implement for models at our company too: https://modelcards.withgoogle.com/face-detection
    Josh Tobin
    @josh_tobin__twitter
    anyone tried snorkel?
    6 replies
    James Le
    @le_james94_twitter
    This ebook offers a great introduction to containers, discusses the challenges and opportunities Kubernetes presents to data science and engineering organizations, and offers insights into how orgs can get started: https://twimlai.com/kubernetes-ebook/
    2 replies
    Soroush
    @sbassam
    Hi everyone! My name is Soroush. I stumbled upon FSDL while researching about the best tools and practices in deep learning. I'm working on a bert-based text summarizer for students. Is there a channel where we can ask questions and discuss issues? Also, I've really enjoyed the lectures so far. you guys are too good.
    Hien Nguyen
    @hiejulia
    Hi everyone, is it free to get certification from the course ? :D
    1 reply
    parjanyaacoder
    @parjanyaacoder
    Hello Everyone I am Parjanya Aditya from India. I am a beginner in Machine learning and Data Science. I am starting this course today. I am excited to learn from you all.
    Danielh Francisco Mendez Carranza
    @DanielhCarranza
    I found an awesome list of references for MLOps! https://github.com/visenger/awesome-mlops
    1 reply
    Andrea Panizza
    @AndreaPi
    Ouch, the Gitter app for iPhone sucks! It doesn't shows threads consistently. It's just a long wall of posts, one after the other, rather that hierarchies of posts for each thread
    Danielh Francisco Mendez Carranza
    @DanielhCarranza
    Hi all, I found another great resource. "ML Applied in Production", is a collection of best practices, failures and results from several companies. https://github.com/eugeneyan/applied-ml
    Stephanie Sher
    @ssgoob
    These are all great resources! And @AndreaPi thanks for the feedback! Thinking about how to learn/collaborate on the best of these materials, we're considering whether a bi-weekly discussion group could be useful. Who here would be interested in participating if we organized something like that?
    Andrea Panizza
    @AndreaPi
    I would!
    @DanielhCarranza great resources, thanks! I knew the first one but not the second one.
    Sergey Karayev
    @sergeyk
    1 reply
    Andrew Mendez
    @interactivetech
    what distributed frameworks or tools are popular in the ML industry? Pytorch and Tensorflow have their own distributed training frameworks, but is there a popular framework that teams utilize?
    3 replies
    Harry Zhao
    @deeplaunch
    Thanks @DanielhCarranza!
    Daniel
    @dcooper01
    I've been building out data pipelines / ETL at work, and found an open-source tool that I really like using -- wanted to share in case it helps anybody else :-)
    https://www.prefect.io/
    2 replies
    Jared Yu
    @qzyu999
    Are the lecture slides for (https://course.fullstackdeeplearning.com/#course-content) available somewhere?
    2 replies
    Chester Chen
    @chesterxgchen
    My team has two senior Software Engineer (data engineering) position open, in case some of your friends is interested (https://gopro.com/en/us/careers/jobs/show?gh_jid=2194597)
    3 replies
    James Le
    @le_james94_twitter

    I updated the "Where To Go Next" section in the course content with the resources mentioned in this chat here so far: https://course.fullstackdeeplearning.com/course-content/where-to-go-next.

    It is categorized into subsections including conferences, newsletters, personal blogs, corporate blogs, repositories, and tutorials.

    Keep submitting pull requests to update them as you come across relevant resources :thumbsup:

    3 replies
    Andrea Panizza
    @AndreaPi
    @ssgoob just a reminder that I'd be interested in case you organize a discussion group 😁 I'm probably in a different time zone than the other participants, though
    Stephanie Sher
    @ssgoob
    @AndreaPi send me your email address pls - we'll be sending out an email soon to coordinate! Team@fullstackdeeplearning.com :) Same goes for anyone else interested in joining an FSDL study group, ping us with subject "Study Group"!
    2 replies
    Sandeep Aswathnarayana
    @SandeepAswathnarayana
    @ssgoob I sent an email to Team@fullstackdeeplearning.com with a few queries on July 10. I understand how busy you probably are. Would you mind answering them at your convenience?
    Does anyone happen to know if the recent ICML presentation videos are open-sourced? - I am interested in Snorkel AI's.
    Mauricio Oliveto
    @mauriciodr_twitter
    Is it off-topic to ask if anyone knows about a computer vision dataset for detecting COVID-19 related human poses?
    1 reply
    Daniel
    @dcooper01
    Is anyone using the Thinc library? I was thinking about giving it a go on my next project -- love the idea of stronger type checking. https://thinc.ai/
    2 replies
    Servando Torres
    @Servando1990
    I'm wondering if Coursera and Udacity course still hot within your industry/country. With the massive democratization of information, perhaps there are different trending tools in certain areas
    Josh Tobin
    @josh_tobin__twitter
    Interesting article: https://blog.kubeflow.org/mlops/
    Vinicius Ribeiro Machado da Silva
    @virimasi
    Hey @sergeyk , Vinicius from last FSDL 2019. Is there any possibility to have access to the videos and notebook from this class here? https://docs.google.com/document/d/e/2PACX-1vRVecewhTEhIVcXXOf0iD0Okkm-DvgcBj7nHQFPgN9v1kbQ7gCkCn-VUE4Lz-p36pml0wIIQmI3begD/pub
    Danielh Francisco Mendez Carranza
    @DanielhCarranza
    Hi all, I built a codebase & GitHub template based on the FSDL labs. Use it as a starting point to get your Machine Learning project into production. I hope is useful for all! https://github.com/DanielhCarranza/ml-production-template
    guruboy001
    @guruboy001
    Hi everyone