nyk510

gradient-boosted-decision-tree

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

vivid

Support Tools for Machine Learning VIVIDLY

my-awesome-package

scdv-python

Sparse Composite Document Vectors using soft clustering over distributional representations

atmacup10

guruguru-cli

Command line tool for the data competition platform "ぐるぐる".

simple-ngboost

Simple NGBoost Implementation written by numpy and sklearn.

3-min-ml-app

3分で機械学習の推論をするアプリを作りましょう

dotfiles

portfolio

nyk510 portfolio site

srcnn-pytorch

kaggle-days-tokyo-2019

arcface-pytorch

start-elastic-search

nyk510

atma8-3rd-solution

atmaCup5-MySolution

my approach in the atmaCup 5 to win the 2nd private place

django-channels-tutorial

django channel のチュートリアルをやる

django-templated-email

Django module to easily send templated emails using django templates, or using a transactional mail provider (mailchimp, silverpop, etc.)

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

nlplot

Visualization Module for Natural Language Processing

nyaggle

Code for Kaggle and Offline Competitions

pycaret

RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

resume

srgan-pytorch

SRGAN Implementation by pytorch

svrg

tf2rl

TensorFlow2.0 Reinforcement Learning

timeline