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finite-abelian's Projects

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

llvm icon llvm

Project moved to: https://github.com/llvm/llvm-project

lua icon lua

The Lua development repository, as seen by the Lua team. Mirrored irregularly. Please DO NOT send pull requests. Report issues in the Lua mailing list https://www.lua.org/lua-l.html

minix_3 icon minix_3

MINIX 3 is a free, open-source, operating system designed to be highly reliable, flexible, and secure. http://www.minix3.org

models icon models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

models-1 icon models-1

Models and examples built with TensorFlow

news-please icon news-please

news-please - an integrated web crawler and information extractor for news that just works.

newspaper icon newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

newsrecommendationsystem icon newsrecommendationsystem

This is a real time news scraping and recommendation system. The system uses a news pipeline to scrape latest news from various of sources such CNN, BBC. To render the news, I built a single-page web application using React. In addition, in order to customize news list for users, I designed and built a training pipeline for news topic modeling using Tensorflow.

nlp-recipes icon nlp-recipes

Natural Language Processing Best Practices & Examples

nmt icon nmt

TensorFlow Neural Machine Translation Tutorial

numba icon numba

NumPy aware dynamic Python compiler using LLVM

recommend-system-tf2.0 icon recommend-system-tf2.0

原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,给个star支持一下吧!🚀 有任何疑问欢迎提 issues,也可加文末的联系方式向我询问!

recommenders icon recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

scraper icon scraper

Scrapes sites. Gets news. Eventually events.

spektral icon spektral

Graph Neural Networks with Keras and Tensorflow 2.

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