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09.12.2021 · Papers With Code highlights trending Machine Learning research and the code to implement it.
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11.06.2021 · The latest in Computer Science | Papers With Code PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals Ildaron/EEGwithRaspberryPI • journal 2022 …
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203 21 7 0 Updated on Oct 8, 2021. sota-extractor Public. The SOTA extractor pipeline. Python 216 Apache-2.0 26 4 0 Updated on Jul 16, 2021. axcell Public. Tools for extracting tables and results from Machine Learning papers. Python 308 Apache-2.0 46 0 0 Updated on Jun 23, 2021. model-index Public. Create a source of truth for ML model results ...
Papers with Code 2021 : A Year in Review | by elvis - Medium
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Papers with Code indexes various machine learning artifacts — papers, code, results — to facilitate discovery and comparison.
Computer Vision | Papers With Code
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Computer Vision. 2586 benchmarks • 945 tasks • 1705 datasets • 22650 papers with code.
Papers With Code: The latest in Machine Learning
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Papers With Code highlights trending Machine Learning research and the code to implement it.
The latest in Machine Learning | Papers With Code
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Dec 09, 2021 · In this paper, we propose an open source, production first, and production ready speech recognition toolkit called WeNet in which a new two-pass approach is implemented to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model. End-To-End Speech Recognition Speech Recognition.
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A ConvNet for the 2020s | Papers With Code
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10.01.2022 · A ConvNet for the 2020s. 10 Jan 2022 · Zhuang Liu , Hanzi Mao , Chao-yuan Wu , Christoph Feichtenhofer , Trevor Darrell , Saining Xie ·. Edit social preview. The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification model.
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17.04.2017 · Paper Code PyTorch: An Imperative Style, High-Performance Deep Learning Library pytorch/pytorch • • NeurIPS 2019
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27.12.2021 · We also propose a new layout-weighted performance metric alongside the dataset for evaluating object detection and segmentation performance in a manner that is more appropriate for robotic grasp applications compared to existing general-purpose performance metrics. 1. 29 Dec 2021. Paper. Code.
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