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

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
Google
[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design

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Jie Xu 60 Jan 04, 2023
graph-theoretic framework for robust pairwise data association

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PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street

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Character Controllers using Motion VAEs

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A privacy-focused, intelligent security camera system.

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A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

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Alibaba 123 Dec 12, 2022
The Instructed Glacier Model (IGM)

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Jingju baseline - A baseline model of our project of Beijing opera script generation

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An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym

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Deploy pytorch classification model using Flask and Streamlit

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Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》

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Zhong Yaoyao 68 Jan 07, 2023
Pcos-prediction - Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms

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A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks

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Zhanghan Ke 255 Dec 11, 2022
PyTorch implementation of the implicit Q-learning algorithm (IQL)

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FewBit — a library for memory efficient training of large neural networks

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Code for ACL2021 long paper: Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

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Boxi Cao 30 Oct 24, 2022