sanghyeon16 Goto Github PK

2020.spring.spotlight

Spotlights in 2020 spring

algorithm-practice

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-recsys

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

baseline-recsys

2020 패스트캠퍼스 추천시스템 A to Z

bert4rec_repro

bms

bulk-upload-to-opensea

BULK UPLOAD NFTs to OPENSEA

carousel_bandits

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-with-python

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal-recsys-public

causal_reading_group

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.

causalrecommendation

Causal inference for recommendation

computer-communication-and-network

Course programming projects

covid19_colocation_map

dbrl

Dataset Batch(offline) Reinforcement Learning for recommender system

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

dice-causal-embedding

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

dif-sr

pack

dowhy

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.

drl-rec

Deep reinforcement learning for recommendation system

eatsy

nomnom

etc.

Self-study

fastertransformer

Transformer related optimization, including BERT, GPT

flight_delays

generativeadversarialusermodel

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

generec

gpu_parallelism_lab1

Model Parallelism: Building and Deploying Large Neural Networks

gpu_parallelism_lab2

Model Parallelism: Building and Deploying Large Neural Networks