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100_questions_nlp

100 questions about NLP: http://www.cl.ecei.tohoku.ac.jp/nlp100/

active-bayesian-coresets

active_osl

Code for "Active One-shot Learning"

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

chainer_image_recognition

links of my implementation

chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

cvpr2017

You can download all papers in cvpr2017 open access

ddp

detect duplicated pictures by features from deep network

dense_net

Implementation of Densely Connected Convolutional Networks by chainer (Densely Connected Convolutional Networks: https://arxiv.org/abs/1608.06993)

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

densenet.pytorch

A PyTorch implementation of DenseNet.

dl_imagenet

get image from imagenet manually

dotfiles

dotfiles setting

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

erroir

example_embedding

Deep Clustering for Unsupervised Learning of Visual Features

examples

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

fractal_net

Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)

gated_convolutional_networks

Implementation of gated convolutional networks by chainer (Language Modeling with Gated Convolutional Networks :https://arxiv.org/pdf/1612.08083v1.pdf)

googlenet

Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)

googlenet_v2

Implementation of googlenet-v2 by chainer (Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167)

googlenet_v3

Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)

highway_networks

Implementation of Highway Networks by chainer(Training Very Deep Networks :https://arxiv.org/abs/1507.06228)

iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

influence_function

intro_vae

is_receptive_field_necessary_to_big

mmdetection

Fork of the MMDetection Toolbox containing the Robustness Benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (merged)