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amazon-chime-sdk

This repository contains samples intended to demonstrate different use cases for the Amazon Chime SDK (JavaScript, iOS, Android, React, Messaging and Telephony)

amazon-chime-sdk-component-library-react

Amazon Chime React Component Library with integrations with the Amazon Chime SDK.

anomaly-detection-from-scratch

arxiv_tweet

arxiv関連ツイートを検索

asformer

Official repo for BMVC2021 paper ASFormer: Transformer for action segmentation

asrf

Code for ''Alleviating Over-segmentation Errors by Detecting Action Boundaries'' accepted in WACV2021

automl

Google Brain AutoML

bulletproof-react

🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

covid19

東京都公式 新型コロナウイルス対策サイト

cs231n_handson

cvpr2018nkn

Tensorflow implementation of the CVPR 2018 paper: Neural Kinematic Networks for Unsupervised Motion Retargetting

deep_colab_zoo

Sample Code for Deep Learning OSS in Google Colaboratory

densratio_network_anomaly_detection

docs

TensorFlow documentation

docs-jp

dotfiles

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

egohandsdatapreprocess

everybodydancenow

Motion Retargeting Video Subjects

example-scripts

The official example scripts for the Numerai Data Science Tournament

habakan

habakan.github.io

lime

LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition, which allows it to produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisition.

mahalanobisad-pytorch

PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"

mobilenetv2

A Keras implementation of MobileNetV2.

models

Models and examples built with TensorFlow

ms-tcn

ms-tcn2

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)