Penil93

CascadeTabNet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

Penil93.github.io

Chem_code

Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

DocBank

DocBank: A Benchmark Dataset for Document Layout Analysis

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

image-table-ocr

Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.

keras-gcn

Keras implementation of Graph Convolutional Networks

KoBERT

Korean BERT pre-trained cased (KoBERT)

KoELECTRA

Pretrained ELECTRA Model for Korean

KoGPT2

Korean GPT-2 pretrained cased (KoGPT2)

Korpora

Korean corpus repository

korquad.github.io

Korean wiki QA dataset for MRC

kowikitext

longformer

Longformer: The Long-Document Transformer

ocrspace

A Python API wrapper for the ocr.space Optical Character Recognition API.

paraKQC

Parallel dataset of Korean Questions and Commands

Penil93

Config files for my GitHub profile.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

qagnn

QA-GNN: Question Answering using Language Models and Knowledge Graphs

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

SpanBERT

Code for using and evaluating SpanBERT.

Standalone-DeepLearning

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

TableBank

TableBank: A Benchmark Dataset for Table Detection and Recognition

tts_survey

A Survey on Neural Speech Synthesis https://arxiv.org/pdf/2106.15561.pdf