tanimutomo Goto Github PK

advertorch_sample

sample code of advertorch

advex-uar

Code for "Testing Robustness Against Unforeseen Adversaries"

algorithm-and-data-structure-by-python

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

amplify-monkey-student

amplify-monkey-teacher

app-on-gpu

app-on-gpu enables you to create a new CUDA-based web application running on your GPU server easily.

assignment

For managing the class assignments

atcoder

atcoder contest

bag-of-local-features-models

Pretrained bag-of-local-features neural networks

bar-chart-race

books

cifar10-c-eval

Testing a model performance for CIFAR10-C

clean-architecture-api-go

Sample API server using Clean Architecture (Go)

cnn

Temporary Implementation of CNN for creating kronos command.

commands

corr_based_prediction

This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):

cortex

A machine learning library for PyTorch

cuda-parallel

customeranalysis

I am planning to us deep learning algorithms to do customer shopping behaviour analysis

d-auto-checker

datastructureandalgorithm

The implementations of the book "プログラミングコンテスト攻略のためのアルゴリズムとデータ構造"

deeptextures

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

docker-k8s-book

Tutorial for go with docker

dotfiles

system files

elasticsearch-samples

evaluating-logit-pairing-methods

Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.