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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deepctr

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

deeprecommender

Deep learning for recommender systems

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

kobert

Korean BERT pre-trained cased (KoBERT)

korgpt2tutorial

Tutorial for pretraining Korean GPT-2 model

ml-murphy

Solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" by K. Murphy

nitz0211.github.io

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_implementation

Implementing nlp papers with PyTorch, Gluon

plmpapers

Must-read Papers on pre-trained language models.

prml

PRML algorithms implemented in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-fastcampus

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

recommenders

Best Practices on Recommendation Systems

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

soynlp

한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

textmining-tutorial

(한국어) 텍스트 마이닝을 위한 공부거리들

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.