jisu1013

jisu1013's Stars

• dhlee347/pytorchic-bert

  Pytorch Implementation of Google BERT

  Language:Python590180

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k1.3k

• sgrvinod/a-PyTorch-Tutorial-to-Sequence-Labeling

  Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

  Language:Python36384

• deeplearningathome/pytorch-language-model

  Simple LSTM-based word-level language model in PyTorch

  Language:Python4630

• upskyy/ContextNet

  PyTorch implementation of "ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context" (INTERSPEECH 2020)

  Language:Python334

• roboreport/doc2vec-api

  document embedding and machine learning script for beginners

  Language:Python9236

• brave-people/brave-tech-interview

  🙋 핵심을 질문하다. 그리고 용감하게 대답하다. 국내 IT기업부터 실리콘밸리까지 "현직자가 해설해주는 기술면접"

  4k308

• Seogeurim/CS-study

  🌎 진정한 컴퓨터공학도가 되기 위한 우리들의 지식 정리 공간 💥

  Language:Java1.2k115

• RUCAIBox/Negative-Sampling-Paper

  This repository collects 100 papers related to negative sampling methods.

  18918

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.4k4.1k

• chris-chris/ml-engineer-roadmap

  WIP: Roadmap to becoming a machine learning engineer in 2020

  2.1k255

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k329

• xiangwang1223/kgpolicy

  Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

  Language:Python13437

• jojoldu/junior-recruit-scheduler

  주니어 개발자 채용 정보

  Language:JavaScript11.3k1.7k

• ratsgo/embedding

  한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

  Language:Python454129

• CRIPAC-DIG/TextING

  [ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

  Language:Python17857

• e9t/nsmc

  Naver sentiment movie corpus

  Language:Python564213

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k994

• phanein/deepwalk

  DeepWalk - Deep Learning for Graphs

  Language:Python2.7k826

• tkipf/gae

  Implementation of Graph Auto-Encoders in TensorFlow

  Language:Python1.6k351

• thunlp/AGE

  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"

  Language:Python10915

• jisu1013/Flask-Study

  Language:JavaScript1

• jisu1013/SKT_AI_Fellowship_3

  2

• jisu1013/TIL

  Today I Learned

  1

• PacktPublishing/Graph-Machine-Learning

  Graph Machine Learning, published by Packt

  Language:Jupyter Notebook263142

• corazzon/KaggleStruggle

  Kaggle Struggle

  Language:Jupyter Notebook297291

• Faith0918/Recommender-Framework

  Language:Python1

• Faith0918/Web-with-Node.js-

  프론트엔드, 백엔드 경험을 위한 웹 프로젝트

  Language:HTML1

• Faith0918/Wine-Recommender

  Wine recommender system in Python by using data from some of vivino reviews.

  21

• snap-stanford/GraphRNN

  Language:Python415117