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Papers with Code
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Papers with Code
@paperswithcode
Our mission is to organize science by converting information into useful knowledge.
London, UK
paperswithcode.com
Joined December 2018
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    Papers with Code
    @paperswithcode
    Nov 15, 2022
    🪐 Introducing Galactica. A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. Explore and get weights: galactica.org
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    Papers with Code
    @paperswithcode
    Oct 8, 2020
    🎉 Papers with Code partners with arXiv! Code links are now shown on arXiv articles, and authors can submit code through arXiv. Read more: medium.com/paperswithcode…
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    Papers with Code
    @paperswithcode
    Feb 2, 2021
    🎉 Introducing... Datasets! We are now indexing 3000+ research datasets from machine learning. Find datasets by task and modality, compare usage over time, browse benchmarks, and much more! Explore the catalogue here: paperswithcode.com/datasets
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    Papers with Code
    @paperswithcode
    May 13, 2021
    🎉 Introducing Datasets on arXiv! 🎉 The new "Code & Data" tab shows datasets used and introduced in the paper! Read more: medium.com/paperswithcode…
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    Papers with Code
    @paperswithcode
    Nov 1, 2021
    🎉 We've just crossed 5000 Datasets! 🎉 We now index and organize more than 5000 research datasets for machine learning. A huge thanks to the research community for their ongoing contributions. Browse the full catalogue here: paperswithcode.com/datasets
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    Papers with Code
    @paperswithcode
    Dec 10, 2020
    🎉 Papers with Code is expanding to more sciences! Today we launch new sites for physics, maths, CS, statistics and astronomy. You can use these sites to sync your code to show on arXiv. Explore our portal here: portal.paperswithcode.com
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    Papers with Code
    @paperswithcode
    Jul 8, 2020
    🎉 Introducing... Methods! We are now tracking 730+ building blocks of machine learning: optimizers, activations, attention layers, convolutions and much more! Compare usage over time and explore papers from a new perspective. Browse the catalogue here:
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    Trending Papers - Hugging Face
    From huggingface.co
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    Papers with Code
    @paperswithcode
    Feb 1, 2019
    We’ve just released the new Papers With Code! Site now has over 950+ ML tasks, 500+ evaluation tables (including state of the art results) and 8500+ papers with code. Explore the resource here: paperswithcode.com/sota. Have fun!
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    Trending Papers - Hugging Face
    From huggingface.co
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    Papers with Code
    @paperswithcode
    Oct 27, 2021
    Graph neural networks are driving lots of progress in machine learning by extending deep learning approaches to complex graph data and applications. Let’s take a look at a few methods ↓
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    Papers with Code
    @paperswithcode
    May 7, 2020
    🎉 A huge update to Papers with Code: now with 2500+ leaderboards and 20,000+ results. Plus, results now link directly to tables in arXiv! Read more in our blog post below and feel free to submit results from your own papers!
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    A Home For Results in ML
    From medium.com
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    Papers with Code
    @paperswithcode
    Dec 30, 2020
    ⏪ Papers with Code: Year in Review. We’re ending the year by taking a look back at the top trending papers, libraries and benchmarks for 2020. Read on below! medium.com/paperswithcode…
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    Papers with Code
    @paperswithcode
    Feb 16, 2021
    🎉 Introducing...Papers with Libraries! We are now indexing ML libraries from the community. We start with the amazing TIMM by @wightmanr. Explore 330+ models, visualize architectures, compare results and hyperparameters, and so much more! paperswithcode.com/lib/timm
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    Papers with Code
    @paperswithcode
    Dec 13, 2019
    We’re excited to announce we’re joining Facebook AI! Read more about it here: medium.com/paperswithcode… @facebookai
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    Papers with Code
    @paperswithcode
    Apr 13, 2021
    🎉 Introducing @paperswithdata 🎉 A curated, daily feed of newly published datasets in machine learning. Follow to stay updated with new datasets!
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