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A curated list of network embedding techniques.
A collection of resources for Recommender Systems (RecSys)
evaluate the word embeddings similarity with ease
An easy-to-use tool for Data Splitting and Data Encoding.
Repositories
38A collection of resources for Recommender Systems (RecSys)
No description provided.
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.
A curated list of network embedding techniques.
Topic Modelling for Humans
No description provided.
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evaluate the word embeddings similarity with ease
No description provided.
Representation learning on large graphs using stochastic graph convolutions.
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Must-read papers on Recommender System.
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Taiwan Developers on Github
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
An easy-to-use tool for Data Splitting and Data Encoding.
🦠 Useful projects and resources for COVID-19 (2019 novel Coronavirus)
A general-purpose network embedding framework: pair-wise representations optimization Network
Easy to use scripts for evaluating word vectors on a variety of tasks.
A general purpose community detection and network embedding library for research built on NetworkX.
[WIP] an implement of PinSage recommender system
using bandit as reranking method (on-going project)
TensorFlow code and pre-trained models for BERT
A List of Recommender Systems and Resources
The baseline solution (1062 NCCU WSM final project)
A fast and scalable C++ library for implicit-feedback matrix factorization models
A curated list of awesome Machine Learning frameworks, libraries and software.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
LINE: Large-scale information network embedding