Fastest GPU implementation of a brute-force Hamming-weight matrix sum/mean for 512-bit binary descriptors.
Repository
Repository di zhouhaoyi
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
The GitHub repository for the paper "JAT" accepted by NeurIPS 2022.
A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.
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.
The official implementation of POLLA.
书籍:深度学习框架pytorch入门与实践
PyTorch implementations of Generative Adversarial Networks.
The official implementation of Triplet Attention.
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Like a garage.
A tiny framework
Natural Language Processing Tutorial for Deep Learning Researchers
An open access book on scientific visualization using python and matplotlib
Configuration for VIM
A truly simple website template for academics
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