Recent submissions

Comment · 4 years ago
Last night I was running run_translator.py script and found that their scripts not actually allow people training models from scratch.

But hey, I was able to read the code, fix that small thing that needed to work for my case and ran my experiment.

I could never do that in AllenNLP. Go figure.

Comment · 4 years ago
I think you are missing the point.

The hackability quotient of AllenNLP is way low.

I'll give you specific examples where AllenNLP overdid it, while HuggingFace was better just by keeping it simple.

Vocabulary class. HuggingFace just used a python dictionary. I can't think of one person who said they needed higher level abstraction. Turns out a python dictionary is pickle-able, saving to a text file is one line code, while the AbstractSinglettonProxyVocabulary is not and no one wants to care in the first place.

Tokenizer class. HuggingFace just used a python dictionary to return strings and integers. I can't think of one person frustrated by it. It's printable, picklable, and everything in between people can fiddle with. And boy where do I start about AllenNLP's overdoing of Tokenizers.

Trainer class. vs. HuggingFace example scripts. The scripts are just much more readable, tweakable, debuggable etc. HF didn't bother with AbstractBaseTrainer class bs.

It just shows they never understood the playing field.

- First, I don't think anyone thought AllenNLP was a good choice for high performance production systems. Again HuggingFace clearly understood the problem and built a fast tokenizer in Rust.

- A math, physics, linguistics, or even CS PhD student who know basics of coding would prefer bare bone scripts. They just want to hack it off and focus on research. Writing good code is not their objective.

Just my opinion.

Comment · 4 years ago
It's one of the overly abstracted libraries. Too hard to tweak something. HuggingFace Transformers did a better job at keeping things simpler.
Comment · 4 years ago
when has his fund ever outperformed sp500 or has it at least remain uncorrelated?
Comment · 4 years ago
Comment · 4 years ago
Comment · 4 years ago
while its sleazy to not be forthcoming, I've a feeling in general a private competition is better than a US gov. Sometimes it's hard to create right private marketplaces, and healthcare is one of those areas.
Comment · 4 years ago
Germany.

I ain't even gonna explain it.

Comment · 4 years ago
Isn't a decent auth library boilerplate at this point?
Comment · 4 years ago
What would be a good place for a beginner to start working on a problem related to IO economics of platforms?

I've studied MITx Microeconomics course. It appears undergrad level Micro course, and a background in machine learning and software engineering.

Comment · 4 years ago
I suppose investors want to optimize "we told you before, we are right".
Comment · 4 years ago
I appreciate that they are releasing their log book detailing the challenges faced.
Comment · 4 years ago
She was at Institute for Advanced Study at Princeton. It's -the- most elite intellectual society. The top 1% of the 1% academics have to compete for admission. If that doesn't wash away illformed biases, I don't know what can! What she accomplished is no joke!! Huge respect tbh.
Comment · 4 years ago
I paid $300 for TurboTax to fill two input boxes because I found the W2-C form too confusing

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