Comments (5)
Closing as discussed in #392 - reached out to align but further discussion won't proceed otherwise as clarified
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Closing as discussed in #392 - reached out to align but further discussion won't proceed otherwise as clarified
The current contribute.md did not solve any of the issues mentioned above. @axsaucedo Why are you avoiding the core issues?
from awesome-production-machine-learning.
I have checked your website: https://ethical.institute/ and this gives a detailed explanation regarding the guideline of Ethical AI & Machine Learning. When it comes to this list, why do you prevent me to talk about the guideline accordingly? Is that ethical in terms of OSS spirit? @axsaucedo
from awesome-production-machine-learning.
It's been explained over and over Zhimin, unfortunately I don't have the time or energy to entretain this as it seems it's repeating the same point over and over and it's not productive or healthy for the interactions. I reached out to discuss further to align but we can't continue going in circles as the reasonings have been discussed repeatedly.
from awesome-production-machine-learning.
@axsaucedo I 've read every word of your reply.
I had never said "there should be an exact definition that everyone should agree." I say that we should at least to have a template definition to refer to which helps us to reach a concensus. I am 100% sure now what's on your mind of "production machine learning" is different from that on my mind. But sadly, I have no idea what the difference is. I have to guess and you always close my pr due to my wrong guess.
For example, as a researcher, when you are talking about something in the publication, you usually at first give some background info and define the old concepts before you are going to introduce the new ones, or else the reviewers won't have the same start point as your mind, resulting a lot of misunderstanding and rebuttal. @axsaucedo You understand what I mean?
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Related Issues (20)
- How can we categorize CodaLab HOT 6
- Move W&B from commercial section to open-source section HOT 4
- New section on Generative AI HOT 16
- Creating github action to perform automated releases HOT 3
- [Request] Add cmd_queue to data pipeline HOT 6
- Proposal to add SOTA major computing platforms such as PyTorch, Tensorflow, MXNet, PaddlePaddle and Skitcit-Learn, etc.
- Proposal for including license and tabularing information
- Proposal to increase the tool bar for the list HOT 7
- Proposal to retire the obsolete tags and releases HOT 2
- Proposal to create industry strength validation section HOT 1
- Proposal to make the categorization standard explicit and clear HOT 2
- Proposal to create production-level interoperability ML tools
- Proposal to remove _config.yml HOT 1
- Proposal for the definition of production machine learning HOT 8
- Proposal for reviewing issues first and then critiquing PR. HOT 2
- Proposal to add prompt engineering tools HOT 3
- Proposal to add numenta
- Proposal to create production-level ML-related datasets?
- Proposal to create multi-modal ML tools
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