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

Last update: Jan 02, 2023

Related tags

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

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Xcessiv Xcessiv is a tool to help you create the biggest, craziest, and most excessive stacked ensembles you can think of. Stacked ensembles are simpl

1.3k Nov 17, 2022

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

PGDF This repo is the official implementation of our paper "Sample Prior Guided Robust Model Learning to Suppress Noisy Labels ". Citation If you use

[email protected]"> 22 Dec 23, 2022

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

GDR-Net This repo provides the PyTorch implementation of the work: Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji. GDR-Net: Geometry-Guided

169 Jan 07, 2023

The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".

SSL models are Strong UDA learners Introduction This is the official code of paper "Semi-supervised Models are Strong Unsupervised Domain Adaptation L

26 Dec 26, 2022

App customer segmentation cohort rfm clustering

CUSTOMER SEGMENTATION COHORT RFM CLUSTERING TỔNG QUAN VỀ HỆ THỐNG DỮ LIỆU Nên chuyển qua theme màu dark thì sẽ nhìn đẹp hơn https://customer-segmentat

3 Dec 18, 2021

Implementation for Curriculum DeepSDF

Curriculum-DeepSDF This repository is an implementation for Curriculum DeepSDF. Full paper is available here. Preparation Please follow original setti

69 Dec 29, 2022

PiRank: Learning to Rank via Differentiable Sorting

PiRank: Learning to Rank via Differentiable Sorting This repository provides a reference implementation for learning PiRank-based models as described

54 Dec 17, 2022

Learning Chinese Character style with conditional GAN

zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks Introduction Learning eastern asian language typefaces with GAN. zi2zi(字到字, me

2.2k Jan 02, 2023

Code release for BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

BlockGAN Code release for BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images BlockGAN: Learning 3D Object-aware Scene Rep

41 May 18, 2022

Pytorch Implementation of Various Point Transformers

Pytorch Implementation of Various Point Transformers Recently, various methods applied transformers to point clouds: PCT: Point Cloud Transformer (Men

434 Dec 30, 2022

Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide

58 Dec 24, 2022

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement This repository implements the approach described in SporeAgent: Reinforced

5 Jan 02, 2023

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have underg

1 Dec 28, 2021

In this project, we create and implement a deep learning library from scratch.

ARA In this project, we create and implement a deep learning library from scratch. Table of Contents Deep Leaning Library Table of Contents About The

22 Aug 23, 2022

Cards Against Humanity AI

cah-ai This is a Cards Against Humanity AI implemented using a pre-trained Semantic Search model. How it works A player is described by a combination

2 Aug 22, 2022

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

MUST-GAN Code | paper The Pytorch implementation of our CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generat

46 Dec 26, 2022

Code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Biomedical Entity Linking This repo provides the code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Res

24 Oct 24, 2022

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

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".

App customer segmentation cohort rfm clustering

Implementation for Curriculum DeepSDF

PiRank: Learning to Rank via Differentiable Sorting

Learning Chinese Character style with conditional GAN

Code release for BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Pytorch Implementation of Various Point Transformers

Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

In this project, we create and implement a deep learning library from scratch.

Cards Against Humanity AI

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

Continuum Learning with GEM: Gradient Episodic Memory

A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model

Detecting Potentially Harmful and Protective Suicide-related Content on Twitter

Code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks