Naoki Katsura's repositories
fedavg.pytorch
A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
efficientnet-pytorch
PyTorch implementation of "EfficientNet", ICML 2019
tour-of-albumentations
example of albumentations
extruct-video-feature
Extract video feature from C3D pretrained on Sports-1M and Kinetics
jikken2019-autumn
主専攻実験（秋） 強化学習
generate-syosetu-title
なろう小説風のタイトルをTransformerによって生成
pytorch-linear-cyclical-lr-scheduler
LinearCyclicalLR scheduler implemented by Pytorch
albumentations
fast image augmentation library and easy to use wrapper around other libraries
CenterTrack
Simultaneous object detection and tracking using center points.
coco_evaluater
Object Detection Metrics for COCO format
collaborative-experts
Video embeddings for retrieval - code for the paper "Use What You Have: Video retrieval using representations from collaborative experts"
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
dual_encoding
[CVPR2019] Dual Encoding for Zero-Example Video Retrieval
experiment_parts
useful parts for experiment
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
PyTorch_Gaussian_YOLOv3
PyTorch implementation of Gaussian YOLOv3 (including training code for COCO dataset)
TF-SimpleHumanPose
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
vqa-outliers
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."