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Type: User
Company: Texas A&M University
Type: User
Company: Texas A&M University
Spotlights in 2020 spring
An index of algorithms for learning causality with data
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
2020 패스트캠퍼스 추천시스템 A to Z
BULK UPLOAD NFTs to OPENSEA
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Must-read papers and resources related to causal inference and machine (deep) learning
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Causal inference for recommendation
Course programming projects
Dataset Batch(offline) Reinforcement Learning for recommender system
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
pack
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Deep reinforcement learning for recommendation system
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Self-study
Transformer related optimization, including BERT, GPT
Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
Model Parallelism: Building and Deploying Large Neural Networks
Model Parallelism: Building and Deploying Large Neural Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.