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acl4ssr

SSR 去广告ACL规则/SS完整GFWList规则/Clash规则碎片，Telegram频道订阅地址

adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dim

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

blog_posts

co-action-network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

deep_ctr

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

drl

Deep Reinforcement Learning

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

easyrec

A framework for large scale recommendation algorithms.

easyrec-1

A easy-to-use recommender system toolbox based on tensorflow 2.

fixadat

https://leanpub.com/DevWebApps

fly

Fly Template 由layui官方社区友情提供，基于 layui 搭建而成，提供了全屏和固宽两类排版，并且具备响应式适配能力，可很好地作为简约型问答社区的页面支撑。

gradnorm-keras

hkssnetwork

hub-recsys

A python library contain classic algorithms and deep models on recommender system

ja-netfilter-backup

kafka-connect-ui

Web tool for Kafka Connect |

keras-recommenders

recommenders based Keras

ml-study

自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享

mlflow

Open source platform for the machine learning lifecycle

monolith

ByteDance's Recommendation System

mtl-homoscedastic-uncertainty

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力