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

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021)

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code

149 Dec 15, 2022

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

AdvancedHMC.jl AdvancedHMC.jl provides a robust, modular and efficient implementation of advanced HMC algorithms. An illustrative example for Advanced

167 Jan 01, 2023

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

Volume rendering + 3D implicit surface Showcase What? previous: surface rendering; now: volume rendering previous: NeRF's volume density; now: implici

682 Jan 04, 2023

Wandb-predictions - WANDB Predictions With Python

WANDB API CI/CD Below we capture the CI/CD scenarios that we would expect with o

6 Oct 07, 2022

A curated (most recent) list of resources for Learning with Noisy Labels

321 Jan 09, 2023

Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness

FL Analysis This repository contains the code and results for the paper "Towards Understanding Quality Challenges of the Federated Learning: A First L

3 Oct 17, 2022

Official implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

CrossViT This repository is the official implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ArXiv If

168 Dec 29, 2022

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

29 Dec 26, 2022

Official implementation of Long-Short Transformer in PyTorch.

Long-Short Transformer (Transformer-LS) This repository hosts the code and models for the paper: Long-Short Transformer: Efficient Transformers for La

198 Dec 29, 2022

Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

Object DGCNN & DETR3D This repo contains the implementations of Object DGCNN (https://arxiv.org/abs/2110.06923) and DETR3D (https://arxiv.org/abs/2110

539 Jan 07, 2023

This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.

Amortized Assimilation This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems. Abstract: T

4 Aug 16, 2022

Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning Reference Abeßer, J. & Müller, M. Towards Audio Domain Adapt

2 Jul 06, 2022

PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning

PiCO: Contrastive Label Disambiguation for Partial Label Learning This is a PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambig

147 Jan 07, 2023

GPU-Accelerated Deep Learning Library in Python

Hebel GPU-Accelerated Deep Learning Library in Python Hebel is a library for deep learning with neural networks in Python using GPU acceleration with

1.2k Dec 21, 2022

A standard framework for modelling Deep Learning Models for tabular data

PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.

801 Jan 08, 2023

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021)

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021) Zeyu Wang, Sherry Qiu, Nicole Feng, Holly Rushmeier, Leonard McMill

23 Dec 09, 2022

The code used for the free [email protected] Webinar series on Reinforcement Learning in Finance

Reinforcement Learning in Finance [email protected] Webinar This repository provides the code f

62 Dec 22, 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

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021)

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

Wandb-predictions - WANDB Predictions With Python

A curated (most recent) list of resources for Learning with Noisy Labels

Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness

Official implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Official implementation of Long-Short Transformer in PyTorch.

Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.

Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning

GPU-Accelerated Deep Learning Library in Python

A standard framework for modelling Deep Learning Models for tabular data

Tracing Versus Freehand for Evaluating Computer-Generated Drawings (SIGGRAPH 2021)

The code used for the free [email protected] Webinar series on Reinforcement Learning in Finance

Awesome Monocular 3D detection

We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC).

Single object tracking and segmentation.