nutszebra

chainer_image_recognition

links of my implementation

dense_net

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

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)

neural_architecture_search_with_reinforcement_learning_appendix_a

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer

prelu_net

Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)

resnext

Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)

SENets

Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)

shake_shake

Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)

stochastic_depth

Implementation of Deep Networks with Stochastic Depth by chainer (Deep Networks with Stochastic Depth: https://arxiv.org/abs/1603.09382)

nutszebra/neural_architecture_search_with_reinforcement_learning_appendix_a

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer

nutszebra/trainer

trainer for chainer

nutszebra/squeeze_net

Implementation of SqueezeNet by chainer (SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size: https://arxiv.org/abs/1602.07360)

nutszebra/shampoo

nutszebra/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/

nutszebra/Pixel-to-Binary-Embedding

nutszebra/active-bayesian-coresets

nutszebra/active_osl

Code for "Active One-shot Learning"

nutszebra/attention-is-all-you-need-pytorch

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

nutszebra/BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

nutszebra/densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

nutszebra/dotfiles

dotfiles setting

nutszebra/erroir

nutszebra/example_embedding

Deep Clustering for Unsupervised Learning of Visual Features

nutszebra/iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

nutszebra/intro_vae

nutszebra/is_receptive_field_necessary_to_big

nutszebra/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)

nutszebra/places365

The Places365-CNNs for Scene Classification

nutszebra/pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

nutszebra/pyinn

CuPy fused PyTorch neural networks ops

nutszebra/pytorch-classification

Classification with PyTorch.

nutszebra/pytorch-wavenet

An implementation of WaveNet with fast generation

nutszebra/PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

nutszebra/PyTorch_YOLOv3

Implementation of YOLOv3 in PyTorch

nutszebra/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

nutszebra/ResNeXt-PyTorch

nutszebra/ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

nutszebra/training_through_attention

nutszebra/vind

Tensorflow Implementation of VIND