jihan-jung Goto Github PK

006764

<파이썬 코딩의 기술> Effective Python 이펙티브 파이썬

advanced-tensorflow

Little More Advanced TensorFlow Implementations

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

arduino

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-r

A curated list of awesome R frameworks, packages and software.

bert

TensorFlow code and pre-trained models for BERT

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepdream

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dl_tutorials_10weeks

Deep Learning Tutorials for 10 Weeks

esl_solution

The Elements of Statistical Learning_Solution

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow 1.12

first-course-in-bayesian-solution-

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hide-api-key-with-serverless-functions

infogan

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jswebcrawler

<자바스크립트와 Node.js를 이용한 웹 크롤링 테크닉> 리포지토리

kakao.github.io

kakao 기술 블로그

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kind_pytorch_tutorial

Kind PyTorch Tutorial for beginners

kobert

Korean BERT pre-trained cased (KoBERT)

konlp

R package for Korean NLP

korean_bert

Pre-training BERT on korean language with multi-gpu

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.