This repo contains research materials released by members of the Google Brain team in Tokyo.

Last update: Jan 02, 2023

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Deep Learning brain-tokyo-workshop

Overview

Brain Tokyo Workshop 🧠 🗼

This repo contains research materials released by members of the Google Brain team in Tokyo.

Past Projects

Weight Agnostic Neural Networks

Code Release

Link to Article (pdf version)

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Code Release

Link to Article (pdf version)

Neuroevolution of Self-Interpretable Agents

Code Release (Code for CarRacing Variants)

Extensions to CarRacing-v0 environment released to facilitate future research.

Link to Article (pdf version)

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Code Release

Disclaimer

This is not an official Google product.

Owner

Google

Google ❤️ Open Source

GitHub Repository

An Active Automata Learning Library Written in Python

AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto

78 Dec 30, 2022

Object detection using yolo-tiny model and opencv used as backend

Object detection Algorithm used : Yolo algorithm Backend : opencv Library required: opencv = 4.5.4-dev' Quick Overview about structure 1) main.py Load

2 Jul 06, 2022

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

LUNAR Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks" Adam Goodge, Bryan Hooi, Ng See Kiong and

25 Dec 28, 2022

Human Dynamics from Monocular Video with Dynamic Camera Movements

Human Dynamics from Monocular Video with Dynamic Camera Movements Ri Yu, Hwangpil Park and Jehee Lee Seoul National University ACM Transactions on Gra

215 Jan 01, 2023

REGTR: End-to-end Point Cloud Correspondences with Transformers

REGTR: End-to-end Point Cloud Correspondences with Transformers This repository contains the source code for REGTR. REGTR utilizes multiple transforme

108 Dec 17, 2022

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models This repository is the official implementation of the fol

41 Dec 06, 2022

Augmented Traffic Control: A tool to simulate network conditions

Augmented Traffic Control Full documentation for the project is available at http://facebook.github.io/augmented-traffic-control/. Overview Augmented

4.3k Jan 08, 2023

Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.

DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to

74 Jan 07, 2023

Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

TORCHYOLO : Yolo Modellerin Pytorch Uygulaması Yapılacaklar: Yolov3 model.py ve

3 Aug 22, 2022

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

[Paper] [Project page] This repository contains code for the paper: Andrew Owens, Alexei A. Efros. Audio-Visual Scene Analysis with Self-Supervised Mu

202 Dec 13, 2022

AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations

AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-l

4.6k Jan 09, 2023

This repo contains research materials released by members of the Google Brain team in Tokyo.

Related tags

Overview

Brain Tokyo Workshop 🧠 🗼

Past Projects

Weight Agnostic Neural Networks

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Neuroevolution of Self-Interpretable Agents

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Disclaimer

Owner

Google

An Active Automata Learning Library Written in Python

Object detection using yolo-tiny model and opencv used as backend

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Human Dynamics from Monocular Video with Dynamic Camera Movements

REGTR: End-to-end Point Cloud Correspondences with Transformers

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

Augmented Traffic Control: A tool to simulate network conditions

Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.

Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations

A Keras implementation of YOLOv3 (Tensorflow backend)

A Multi-modal Model Chinese Spell Checker Released on ACL2021.

Simulated garment dataset for virtual try-on

A synthetic texture-invariant dataset for object detection of UAVs

Spatial Sparse Convolution Library

Deep Watershed Transform for Instance Segmentation

Demo for the paper "Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation"

PyTorch implementation of the WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (ICCV 2021)

Simple reference implementation of GraphSAGE.