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a3c

a3c chainer

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advertorch

A Toolbox for Adversarial Robustness Research

ae

auto encoder class

analistic_functions

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bootstrap

percentile error

catastrofic_forget

https://arxiv.org/abs/1703.08475

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

customized_ccxt

customized_ccxt

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

emacs

fit_mrqmin3d

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

github-action-python-test

GitHub action that runs nose tests

github_action

github action test with docker

google-research

Google Research

iclr2019-openreviewdata

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

infra-server-env-build-practice

CLI<-->Nginx<-->Gunicorn -- Flaskの構成でAPPを作成しherokuへデプロイする練習リポジトリ。

io

jack

jacobian_pytorch

Efficient Jacobian calculation

jquants-forum

jquants-news

SIGNATEで開催されたコンペ「日本取引所グループ ニュース分析チャレンジ　ニュースでポートフォリオを構築しよう！」の公開ノートブック

lstm_pytorch_vs_tensorflow

mine_pytorch

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

neural-mechanics

noise_reduction

numerov