jhyun0919's Stars
kyleneideck/BackgroundMusic
Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.
google-research/bert
TensorFlow code and pre-trained models for BERT
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
mrdbourke/awesome-courses
:books: List of awesome university courses for learning Computer Science!
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
syhw/wer_are_we
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
warnikchow/dlk2nlp
Day-by-day line-by-line Keras-based Korean NLP
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
zziz/pwc
This repository is no longer maintained.
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
warnikchow/3i4k
Intonation-aided intention identification for Korean
sjchoi86/Tensorflow-101
TensorFlow Tutorials
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
naver/nlp-challenge
NLP Shared tasks (NER, SRL) using NSML
allenai/acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
rllab-snu/Deep-Reinforcement-Learning
Introduction to Deep Reinforcement Learning
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
GunhoChoi/Kind-PyTorch-Tutorial
Kind PyTorch Tutorial for beginners
GunhoChoi/Kind_Tensorflow_Tutorial
친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!
GunhoChoi/Deep-Learning-For-Beginners
videos, lectures, blogs for Deep Learning
GunhoChoi/PyTorch-FastCampus
PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration