Eunhwan Park's Projects
Question-answer generation from text
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Accompanying repo for the RLPrompt paper
Deep Reinforcement Learning For Sequence to Sequence Models
Moon is a minimal, one column jekyll theme.
Advanced Implementation of An Efficient Framework for Learning Sentence Representations using PyTorch
Graph parsing approach to structured sentiment analysis.
This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.
Parsing gigabytes of JSON per second
Subject of Lecture "Network Service Protocol, Kookmin University."
This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.
Transformers for Classification, NER, QA, Language Modelling, Language Generation, Multi-Modal, and Conversational AI
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Sequential Neural Processes
Code for using and evaluating SpanBERT.
Provides spring-security-oauth2 & Boot 2 integration (i.e. autoconfig)
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0็ๅ
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Part-of-speech tagger implemented using a feedforward network in TensorFlow
TensorFlow Tutorials with YouTube Videos
all kinds of text classification models and more with deep learning
Graph Convolutional Networks for Text Classification. AAAI 2019