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Fastest GPU implementation of a brute-force Hamming-weight matrix sum/mean for 512-bit binary descriptors.

Ultimo commit 12 ott 2016

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The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Ultimo commit 4 giu 2021

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The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Ultimo commit 7 gen 2024

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The GitHub repository for the paper "JAT" accepted by NeurIPS 2022.

Ultimo commit 9 gen 2023

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A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.

Ultimo commit 29 giu 2017

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A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

Ultimo commit 16 set 2017

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The official implementation of POLLA.

Ultimo commit 15 mag 2022

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书籍:深度学习框架pytorch入门与实践

Ultimo commit 6 apr 2018

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PyTorch implementations of Generative Adversarial Networks.

Ultimo commit 6 giu 2018

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The official implementation of Triplet Attention.

Ultimo commit 27 ott 2021

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From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Ultimo commit 20 set 2020

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Like a garage.

Ultimo commit 17 ago 2021

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A tiny framework

Ultimo commit 11 ott 2019

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zhouhaoyi/nlp-tutorialJupyter Notebook

Natural Language Processing Tutorial for Deep Learning Researchers

Ultimo commit 9 apr 2019

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An open access book on scientific visualization using python and matplotlib

Ultimo commit 2 apr 2022

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Configuration for VIM

Ultimo commit 21 lug 2019

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A truly simple website template for academics

Ultimo commit 1 giu 2026

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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Ultimo commit 17 set 2017

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