owruby

NeuRec

Next RecSys Library

Wavenet-PyTorch

PyTorch implementation of Wavenet

TCN

Sequence modeling benchmarks and temporal convolutional networks

paper-reading

Notes about papers I read (in Japanese)

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

mobilenets-tpu

MobileNetV3 tf.keras implementation with pre-trained weights using the TPU Estimator API

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

guchio_utils

a repo which contains my tools and wiki

Large-Scale-VRD.pytorch

Implementation for the AAAI2019 paper "Large-scale Visual Relationship Understanding"

Large-Scale-VRD

Visual Relationship Detection

drnet_cvpr2017

Detecting Visual Relationships with Deep Relational Networks

graph-rcnn.pytorch

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

MetaST

MetaST for WWW 2019

imgclsmob

Sandbox for training deep learning networks

torchgpipe

A GPipe implementation in PyTorch

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

Bird_cocktail

Stanford CS230 Win2018 project

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

kaggle-hpa

Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.

kaggle-HomeDepot

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

DMVST-Net

DMVST-Net for AAAI 2018

Atten_Deep_MIL

Attention-based Deep MIL implementation and application

Signal-Processing-and-Pattern-Classification

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

fudan_mtl_reviews

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Text-Classification-Pytorch

Text classification using deep learning models in Pytorch