Michiaki Tatsubori (tatsubori)

tatsubori

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Company:IBM

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Michiaki Tatsubori's repositories

Metric-FF

Metric-FF is a domain independent planning system developed by Joerg Hoffmann.

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pddl-lib

A PDDL library that parse PDDL files and provides a very simple interface to interact with domain-problems.

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AMR-CSLogic

A service that parses a sentence using AMR and returns a set of Verbnet logic predicates grounded with the roles of the input sentence.

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audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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Baselines-ETCI2021

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

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Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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DILP-Core

Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

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gym-minigrid

Minimalistic gridworld package for OpenAI Gym

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LOA

Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games

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NLRL

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)

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onsets-and-frames

A Pytorch implementation of Onsets and Frames (Hawthorne 2018)

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pddlgym

Convert a PDDL domain into an OpenAI Gym environment.

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PyTorchSR

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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rddl2tf_tf2

RDDL2TensorFlow compiler.

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rddlgym_tf2

A toolkit for working with RDDL domains in Python3.

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rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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rl-baselines3-zoo

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

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s3fs

S3 Filesystem

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TextWorld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

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torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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UQ-climate-impact-benchmarking

A Surrogate Model Benchmark for Dynamic Climate Impact Models

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visual-hints-textworld-rl

Visual Hints in Textworld Cooking Game for Multi-modal RL

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watson-python-sdk

:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud

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