James Joo's starred repositories
readability
๐ Turn any web page into a clean view
WeeklyArxivTalk
[Zoom & Facebook Live] Weekly AI Arxiv ์์ฆ2
LM-LSTM-CRF
Empower Sequence Labeling with Task-Aware Language Model
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
deep-keyphrase
seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
BERT-Keyword-Extractor
Deep Keyphrase Extraction using BERT
BERT-keyphrase-extraction
Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10
pytorch-GAT
My implementation of the original GAT paper (Veliฤkoviฤ 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!
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
pytorch_geometric
Graph Neural Network Library for PyTorch
Graph-Bert
Source code of Graph-Bert
NeuralKpGen
An Empirical Study on Pre-trained Language Models for Neural Keyphrase Generation
nlp_preprocessing
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc
Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
autotrain-advanced
๐ค AutoTrain Advanced
RTL88x2BU-Linux-Driver
Realtek RTL88x2BU WiFi USB Driver for Linux
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Joint-NLU-NLG
The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.
Text-Summarization-Repo
ํ ์คํธ ์์ฝ ๋ถ์ผ์ ์ฃผ์ ์ฐ๊ตฌ ์ฃผ์ , Must-read Papers, ์ด์ฉ ๊ฐ๋ฅํ model ๋ฐ data ๋ฑ์ ์ถ์ฒ ์๋ฃ์ ํจ๊ป ์ ๋ฆฌํ ์ ์ฅ์์ ๋๋ค.
-DL_PaperReadingMeeting
Deep Learning Paper Reading Meeting-Archive
tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.