MasanoriYamada
Ph.D. (science). Researcher of deep learning (robust model, generative model, reinforcement learning).
Tokyo, Japan
Pinned Repositories
a3c
a3c chainer
customized_ccxt
customized_ccxt
jacobian_pytorch
Efficient Jacobian calculation
Mine_pytorch
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
optuna_pytorch_mysql
Example Optuna with MySQL on Docker
pgq
pybotters-wrapper
re-basin-merge-pytorch
signate_news
This repository was used for the signate news analysis challenge. https://signate.jp/competitions/443
tensorboardpy
from tensoraboard log to pandas dataframe
MasanoriYamada's Repositories
MasanoriYamada/optuna_pytorch_mysql
Example Optuna with MySQL on Docker
MasanoriYamada/re-basin-merge-pytorch
MasanoriYamada/tensorboardpy
from tensoraboard log to pandas dataframe
MasanoriYamada/customized_ccxt
customized_ccxt
MasanoriYamada/jacobian_pytorch
Efficient Jacobian calculation
MasanoriYamada/pybotters-wrapper
MasanoriYamada/signate_news
This repository was used for the signate news analysis challenge. https://signate.jp/competitions/443
MasanoriYamada/tool_box
awesome simple tools for deep learning research
MasanoriYamada/trj2img
trj2img: convert from 2d trajectory (np.ndarray) to image (np.ndarray) for tensorbaord
MasanoriYamada/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
MasanoriYamada/advertorch
A Toolbox for Adversarial Robustness Research
MasanoriYamada/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
MasanoriYamada/catastrofic_forget
https://arxiv.org/abs/1703.08475
MasanoriYamada/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
MasanoriYamada/Disentangled-Sequential-Autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
MasanoriYamada/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
MasanoriYamada/github-action-python-test
GitHub action that runs nose tests
MasanoriYamada/github_action
github action test with docker
MasanoriYamada/google-research
Google Research
MasanoriYamada/ICLR2019-OpenReviewData
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
MasanoriYamada/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。
MasanoriYamada/JQuants-Forum
MasanoriYamada/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
MasanoriYamada/lstm_pytorch_vs_tensorflow
MasanoriYamada/neural-mechanics
MasanoriYamada/pytorch-cifar
95.47% on CIFAR10 with PyTorch
MasanoriYamada/sigker-nsdes
Code accompanying the paper "Non-adversarial training of Neural SDEs with signature kernel scores".
MasanoriYamada/signate-fundamentals-challange-1st-place
the first place solution of JPX fundamentals analysis challenge
MasanoriYamada/state-spaces
Sequence Modeling with Structured State Spaces
MasanoriYamada/TrustLLM
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models