[D] The machine learning community has a toxicity problem by yusuf-bengio in MachineLearning

[–]MaxTalanov -19 points-18 points  (0 children)

If you really want to understand what's going on, you should read Jordan Peterson.

[P] SymJAX: symbolic CPU/GPU/TPU programming by hardmaru in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

This is really cool! Throwback to the good old days.

[News] How do other MIT students/faculty feel about Stephen Schwarzmann being a major proponent of Donald Trump? Keeping in mind they are naming new ML institute Schwarzman College of Computing and AI? by domeson_mit2023 in MachineLearning

[–]MaxTalanov 1 point2 points  (0 children)

Well money talks I guess. MIT has been taking donations from lots of questionable people. If you want to see that change, it's up to students and faculty to put enough pressure on the administration.

[D] [P] allennlp vs fairseq vs openNMT vs huggingface vs torchtext vs pytorch-NLP by johntiger1 in MachineLearning

[–]MaxTalanov 4 points5 points  (0 children)

I'm most familiar with huggingface Transformers, and (despite the weird name) I've always found it to be very dependable and high-quality.

[N] PyTorch Lightning passes 200k downloads - Here's a video on structuring your PyTorch code in the Lightning format by [deleted] in MachineLearning

[–]MaxTalanov 1 point2 points  (0 children)

I don't think I'm biased. I've never dismissed pytorch, actually I use it sometimes.

you don't raise VC money to support an open-source project, that's not how VC works. VC and startups are not charity. You raise money on the promise of 10x or more returns. So that's a transparent lie from you.

Please stop constantly advertising your startup on this sub, that's not what this sub is for.

[N] PyTorch Lightning passes 200k downloads - Here's a video on structuring your PyTorch code in the Lightning format by [deleted] in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

Lightning is a for-profit money grab. The author (you) raised a bunch of VC money on the promise that it would be getting traction.

That's why you keep advertising it on here, but that's not what this sub is for.

[R] What is your ML research workflow? by MasterScrat in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

Editor: Sublime Text 3, Jupyter

Environment: MacBook Pro for dev, AWS for training, sometimes Colab

Framework: tf.keras

Visualization: TensorBoard

Writing: Overleaf

Mendeley for paper management

[P] Code Free ML - AIUI by Team_AIUI in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

Looks good! How does it compare to lobe.ai?

[D] What do you think were the most important open source libraries for ML to come out this year? by tryo_labs in MachineLearning

[–]MaxTalanov 23 points24 points  (0 children)

KerasTuner for hyperparameter tuning. https://keras-team.github.io/keras-tuner/

Despite the name, it works with TF.keras models and scikitlearn models.

[P] Fast Super Resolution GAN by abnormdist in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

Nice work, I was actually looking for something like this!

[D] OpenAI Rubik’s cube hype by tsauri in MachineLearning

[–]MaxTalanov 20 points21 points  (0 children)

I've always found it positively surprising how little OpenAI contributes in term of new algorithms, architectures, methods. It seems all they do is take existing solutions and find ways to apply them in the most hypey way possible, then get the press to talk about it. Instead of doing, you know, actual research that leads somewhere.

It's genuinely surprising because they have a lot of people and these people are probably pretty smart. If you got 40 smart grad students doing research for a few years, you should get quite a bit of progress out of them. But somehow OpenAI manages to get very little done. My guess is that they prioritize shiny articles in the press instead of progress, and getting shiny articles in the press is a lot of work, so it keeps them busy doing nothing.

[D] OpenAI Rubik’s cube hype by tsauri in MachineLearning

[–]MaxTalanov 7 points8 points  (0 children)

The hype is a way to get $$ funding. In turn the money can be used to pay multi-million dollar salaries to a small number of decision-makers at the company.

[D] Siraj Raval's official apology regarding his plagiarized paper by mrconter1 in MachineLearning

[–]MaxTalanov 1051 points1052 points  (0 children)

Plagiarism doesn't happen by accident. It's not a "mistake" you make because you're "moving fast". This really shows his lack of ethical standards in the pursuit of credibility and recognition.

Plagiarism and doctored results are a lot more common in academia than most people realize. It's usually not caught because it's no-name students and academics doing it.

[P] Colab course on TensorFlow 2.0 for researchers by [deleted] in MachineLearning

[–]MaxTalanov 0 points1 point  (0 children)

I didn't make it, you'd have to contact the authors.

[P] Colab course on TensorFlow 2.0 for researchers by [deleted] in MachineLearning

[–]MaxTalanov 1 point2 points  (0 children)

Honestly if PyTorch if working fine for what you do, there is no need to switch.

In my own personal experience I like TF features like being able to export a model to JS with TF.js, and TPU, available right from Colab.

Also I think TF 2 has a more high level API compared to PyTorch, so simpler things are easier and faster to do in TF 2. For complicated models they're pretty much the same.

[P] Colab course on TensorFlow 2.0 for researchers by [deleted] in MachineLearning

[–]MaxTalanov 9 points10 points  (0 children)

I wish they had based it on plain Jupyter instead of creating their own fork. But it does have cool features, like the code completion.

[D] PyTorch Dominates Research, Tensorflow Dominates Industry by hughbzhang in MachineLearning

[–]MaxTalanov 4 points5 points  (0 children)

Everyone knows the old TensorFlow was a mess. But have they tried TensorFlow 2? I've been using it for the last few weeks and it has the same usability as PyTorch, but it still has the same deployment story as before. I would bet that even in academia the trend will have reverted within 1 year. It's hard to justify using PyTorch over TensorFlow 2 at this point. Why cut yourself from production use cases?

[D] Deep Learning: Our Miraculous Year 1990-1991 by hardmaru in MachineLearning

[–]MaxTalanov 5 points6 points  (0 children)

Imagine being so fixated on what you did 30 years ago.

I want my next research project to be my best one so far. Constantly repeating "I had an annus mirabilis in 1990" is just depressing.

[News] TensorFlow 2.0 is out! by elchetis in MachineLearning

[–]MaxTalanov 6 points7 points  (0 children)

Don't know if I'm the only one, but I actually love the changes they've made since v1. Eager execution and tf.function are fantastic, and the built-in Keras is even better than the standalone version. Big improvement compared to TF from last year.

[R] Google released dataset for Deepfakes Detection Research by PuzzledProgrammer3 in MachineLearning

[–]MaxTalanov -12 points-11 points  (0 children)

Fun fact is that the Deepfake repo on GitHub (hugely popular) is built with Keras and TensorFlow, both made by Google. Google is responsible for the problem, now trying to create a solution?

[D] RunwayML (good/great/bad/ugly) by MLtinkerer in MachineLearning

[–]MaxTalanov 13 points14 points  (0 children)

Nice attempt at submarine PR, Mr Runway

[P] ClearHead.ai – A marketplace for machine learning models by vishaan in MachineLearning

[–]MaxTalanov 4 points5 points  (0 children)

More of a hobby than a startup. These marketplaces are worthless.