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djhrd_ros2

221031 ROS2 강의자료

etc_code

lstm, many2many, pytorch로 구현

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

fastcampus_textml_blogs

패스트캠퍼스, 자연어처리를 위한 머신러닝, 수업관련 포스트 입니다.

finduser

75 소셜네트워크에서 원하는 아이디 검색하기

fsgan

FSGAN - Official PyTorch Implementation

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

getsentprobfromkogpt2

to get the sentence probability using kogpt2

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

grad-cam-pytorch

Class Activation Map(CAM) with Pytorch

graph-neural-networks

han_imdb

hccho2.github.io

hccho's blog

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

jetbot

An educational AI robot based on NVIDIA Jetson Nano.

kekoxtutorial

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

ko_en_neural_machine_translation

Korean English NMT(Neural Machine Translation) with Gluon

kochat

Opensource Korean chatbot framework based on deep learning 💬

korean_nlp

한국어 자연어 처리. soynlp, konlpy, nltk

licenceplate_project_study

[Project] 2021.02 ~ 2021.09 License Plate Detection Application

machine-learning-basics-good

김은희 박사님의 머신러닝 자료 짱좋음

machine-translation-transformers

Machine Translation using Transfromers (without RNNs or CNNs). "Attention Is All You Need."

make_ner_dataset_conll2003_with_yedda

This repository is to make ner dataset(CoNLL2003 format) with chunking from yedda(python ner annoration tool) ann file

make_nerdataset

NER dataset을 만들기 위해 문장, 단어 분절

master_ipython

Random IPython Notebooks that thematically belong to the thesis

megatron-lm

Ongoing research training transformer language models at scale, including: BERT

melgan

Unofficial PyTorch implementation of MelGAN vocoder (Training in progress)

membership

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow.

multiple-gait-controller-for-quadruped-robot

Learning multiple gaits of quadruped robot using hierarchical reinforcement learning