Pinned Repositories
2020.spring.spotlight
Spotlights in 2020 spring
Algorithm-Practice
awesome-causality-algorithms
An index of algorithms for learning causality with data
covid19_colocation_map
flight_delays
GPU_Parallelism_lab2
Model Parallelism: Building and Deploying Large Neural Networks
Intro-VLSI-Physical-Design-Automation
Course programming projects
recSys
ReinforcementLearningProject
TAMUDatathon_eatsy
Sanghyeon16's Repositories
Sanghyeon16/GPU_Parallelism_lab2
Model Parallelism: Building and Deploying Large Neural Networks
Sanghyeon16/awesome-causality-algorithms
An index of algorithms for learning causality with data
Sanghyeon16/TAMUDatathon_eatsy
Sanghyeon16/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Sanghyeon16/baseline-recsys
2020 패스트캠퍼스 추천시스템 A to Z
Sanghyeon16/bert4rec_repro
Sanghyeon16/bulk-upload-to-opensea
BULK UPLOAD NFTs to OPENSEA
Sanghyeon16/Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Sanghyeon16/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
Sanghyeon16/causal-recsys-public
Sanghyeon16/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.
Sanghyeon16/DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Sanghyeon16/DICE-causal-embedding
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Sanghyeon16/DIF-SR
pack
Sanghyeon16/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.
Sanghyeon16/FasterTransformer
Transformer related optimization, including BERT, GPT
Sanghyeon16/GeneRec
Sanghyeon16/GPU_Parallelism_lab1
Model Parallelism: Building and Deploying Large Neural Networks
Sanghyeon16/Hands-On-Recommendation-Systems-with-Python
Hands-On Recommendation Systems with Python published by Packt
Sanghyeon16/KoAlpaca
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델
Sanghyeon16/llama
Inference code for LLaMA models
Sanghyeon16/py-dreambooth
Easily create your own AI avatar images!
Sanghyeon16/recsim
A Configurable Recommender Systems Simulation Platform
Sanghyeon16/recsim_ng
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Sanghyeon16/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Sanghyeon16/ReinforcementLearningAtoZ
The official code repository of Fastcampus <Reinforcement Learning A-Z> (패스트 캠퍼스 강화학습 A-Z)
Sanghyeon16/repsys
Framework for Interactive Evaluation of Recommender Systems
Sanghyeon16/rl_for_budget_constrained_recs
Sanghyeon16/TALLRec
Sanghyeon16/tfs-workshop
Deep Learning Inference hands-on labs; Learn how to host pre-trained TensorFlow/MXNet models to Amazon SageMaker Endpoint without building Docker Image