Zhe Wu

@rewreu

Data scientist, physicist

Fairfax, VA
Vrijeme pridruživanja: listopad 2011.
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  1. proslijedio/la je Tweet
    3. velj

    It's not OK to claim that a system has "near-human abilities" while just releasing a few handpicked examples. We fully release "very-far-from-human abilities" systems every month. If your system is "near-human" it can certainly be shared.

    6 replies 64 proslijeđena tweeta 362 korisnika označavaju da im se sviđa
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  2. proslijedio/la je Tweet
    3. velj

    Check out this Reinforcement Learning game using and ! 🤖

    Play against my first home made game agent () I built using + + + ! Genuinely amazed that it seems to work 😅 Big thanks my teachers , , , and 👏👏👏
    44 proslijeđena tweeta 152 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    31. sij

    This is a nice package for making pyplot animations more intuitive: All you do is call "camera.snap()" every time you re-do the plot.

    141 proslijeđeni tweet 565 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    31. sij

    We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.

    14 replies 488 proslijeđenih tweetova 1.747 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    30. sij

    Announcing the 3rd Workshop & Challenge on Learned Image Compression at , which challenges researchers to use techniques to improve the quality and lower the bandwidth needed for multimedia transmission. Learn all about it ↓

    24 proslijeđena tweeta 84 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    30. sij

    Check it out: Spinning Up is now a sort of "Rosetta Stone" for deep RL, with simple implementations of VPG, PPO, DDPG, TD3, and SAC in both PyTorch and TFv1.

    16 proslijeđenih tweetova 88 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

    25 replies 555 proslijeđenih tweetova 1.939 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    28. sij

    Introducing the new Thinc, a refreshing functional take on deep learning! 🔮 Static type checking 🔥 Mix , & ⛓️ Integrated config system 🧮 Extensible backends incl. JAX (experimental) 🧬 Variable-length sequences & more

    18 replies 230 proslijeđenih tweetova 735 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    29. sij

    I've got to hand it to the MediaPipe team, this is really advanced palm reading!

    A high five for the MediaPipe Visualizer, which allows MediaPipe graphs to be previewed in a web browser - all local on your machine! Learn more about real-time hand tracking with MediaPipe at . See , and learn more details below.
    13 proslijeđenih tweetova 65 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

    i
    28 replies 629 proslijeđenih tweetova 1.787 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    27. sij

    Kornia v0.2.0 is out ! We have introduced a new data augmentation module with strong GPU support, extended the set of color conversion algorithms, supporting GPU CI tests with v1.4.0, and much more. Happy coding !

    162 proslijeđena tweeta 518 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    24. sij

    Pigeon-enabled healthcare! I guess it’s still deep learning

    17 replies 66 proslijeđenih tweetova 304 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    24. sij

    Impressive results on single image depth estimation by Ranftl et al

    107 proslijeđenih tweetova 414 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    19. sij

    Ok, I got a pretty good port of these Maxwell equation figures into Python. Heavy use of JAX and . I'll tidy up the code post it here later.

    7 replies 47 proslijeđenih tweetova 312 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    15. sij

    v1.4: customizable mobile builds, Distributed Model Parallelism via experimental RPC API, Java Bindings, Chaining LRSchedulers Summary: Release Notes: Last release for Python 2 (bye bye!)

    1 reply 148 proslijeđenih tweetova 378 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    14. sij

    MRI scans can tell us a lot about the brain. But how exactly do you "read" an MRI? Register for Neurohacking 101 with for a crash-course in MRI data analysis using Python. We'll even teach you some neuroscience along the way! 🧠 REGISTER:

    8 proslijeđenih tweetova 22 korisnika označavaju da im se sviđa
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  17. proslijedio/la je Tweet
    14. sij

    [News] Preferred Networks releases Optuna v1.0, the first major version of the open-source hyperparameter optimization framework for machine learning. Optimize your optimization.

    123 proslijeđena tweeta 283 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    14. sij

    Learn how to automate most of the infrastructure work required to deploy PyTorch models in production using Cortex, an open source tool for deploying models as APIs on AWS.

    90 proslijeđenih tweetova 334 korisnika označavaju da im se sviđa
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  19. 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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  20. proslijedio/la je Tweet
    12. sij

    The funny thing about AIDungeon is due to all the GPT-2 pre-training on swaths of random web text, you can create an adventure game about literally anything. Here's one about installing OpenCV from source:

    1.125 proslijeđenih tweetova 3.180 korisnika označava da im se sviđa
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