Ralph Brooks

@ralphbrooks

Seeking NLP, Deep Learning Consulting Opportunities.

Frisco, TX
famousquotes.ralphabrooks.com
Vrijeme pridruživanja: svibanj 2009.
2 fotografije ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    24. sij

    I can help your company spend “less time reading” English text data and more time “acting on insights.” DM me for details. Resume: Recent work: Technical Blog:

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  2. proslijedio/la je Tweet
    4. velj

    I just published my first post on Medium "Is the future of Neural Networks Sparse?" . Enjoy!

    38 proslijeđenih tweetova 179 korisnika označava da im se sviđa
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  3. proslijedio/la je Tweet
    29. sij

    New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks

    2 proslijeđena tweeta 2 korisnika označavaju da im se sviđa
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  4. proslijedio/la je Tweet
    28. sij

    Hidden Markov Models have gotten a bit less love in the age of deep learning, but they are really nifty models that can learn even from tiny datasets. I’ve written a notebook introducing HMMs and showing how to implement them in PyTorch—check it out here:

    6 replies 39 proslijeđenih tweetova 147 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    17. sij

    Google's Reformer paper is a much bigger deal than it is being made out to be. BERT and GPT-2 were not practical given the insane training times/costs. Reformer has the potential to cause a mini NLP revolution over the next few months! -

    23 proslijeđena tweeta 75 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    28. sij

    This textbook on NLP is just beautiful

    38 proslijeđenih tweetova 114 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    29. sij

    If you want to go beyond the stuff you will learn in MOOCs follow this class from (not an easy class if you take it seriously). Video lectures:

    Odgovor korisnicima @deliprao @Caltech
    The course I am teaching now at is here: I have added topics in statistics because I believe it is critical to have a strong foundation in ML
    42 proslijeđena tweeta 164 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    23. sij

    How to “flex” when you’re a distributed employee: 1. Buy a fancy microphone for Zoom calls - you’ll sound like an talk show host. 2. Add unique background behind video calls - standard wallpaper is so 2010’s. 3. Lighting is everything - pick good light to look like a TV star.

    68 replies 142 proslijeđena tweeta 1.911 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    21. sij

    Open source alert 🚨 today we are sharing the code that accelerated BERT inference 17x and allowed us to use the model for web search at scale 🚄 code is available for both and . Thanks ML for the great collaboration!

    27 proslijeđenih tweetova 68 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    21. sij

    NLP community: Interpreting text models with Captum – an open source, extensible library for model interpretability built on PyTorch. Sentiment Analysis and interpreting BERT Models in the tutorials.

    79 proslijeđenih tweetova 340 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    19. sij

    📰 NLP Newsletter (Issue #2): Reformer, DeepMath, ELECTRA, TinyBERT for Search, VizSeq, Open-Sourcing ML,… 📰 featuring: , , , , , ,... GitHub: Medium:

    5 replies 71 proslijeđeni tweet 277 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    16. sij

    Google Reformer: Transformer that can process text sequences of lengths up to 1 million words on a single accelerator using only 16GB of memory via

    1 reply 15 proslijeđenih tweetova 40 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    14. sij

    Happy to release NN4NLP-concepts! It's a typology of important concepts that you should know to implement SOTA NLP models using neural nets: 1/3 We'll reference this in CMU CS11-747 this year, trying to maximize coverage. 1/3

    119 proslijeđenih tweetova 331 korisnik označava da mu se sviđa
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  14. proslijedio/la je Tweet
    13. sij

    We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.

    16 replies 324 proslijeđena tweeta 944 korisnika označavaju da im se sviđa
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  15. proslijedio/la je Tweet
    13. sij

    I published a new article on the blog: Active Transfer Learning with PyTorch. Read about adapting Machine learning models with the knowledge that some data points will later get correct human labels, even if the model doesn't yet know the labels:

    1 reply 159 proslijeđenih tweetova 623 korisnika označavaju da im se sviđa
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  16. proslijedio/la je Tweet
    8. sij

    A good listing of tricks for ML research. Probably combining any two of these could get you a paper at a conference. Please don't do that blindly. Slide by .

    1 reply 65 proslijeđenih tweetova 352 korisnika označavaju da im se sviđa
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  17. proslijedio/la je Tweet
    8. sij

    I prepared a new notebook for my Deep Learning class: Joint Intent Classification and Slot Filling with BERT: This a step by step tutorial to build a simple Natural Language Understanding system using the voice assistant dataset (English only).

    8 replies 227 proslijeđenih tweetova 857 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    5. sij

    I running a 60-minute webinar blitz on causal modeling in machine learning code examples THIS Thursday. Ideal for applied and practitioners interested in connections between dense causal inference lit and ML tools practice.

    5 replies 20 proslijeđenih tweetova 51 korisnik označava da mu se sviđa
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  19. proslijedio/la je Tweet
    26. pro 2019.

    I came up with some tricks to accelerate Transformer-XL. I hope you will find this post useful.

    1 reply 5 proslijeđenih tweetova 14 korisnika označava da im se sviđa
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  20. 27. pro 2019.

    I just put together a notebook which gives BERT unknown text and which uses the Transformers library to generate sentiment classification from a SavedModel.

    2 korisnika označavaju da im se sviđa
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