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Shotaro Sano's Projects

bayesmark icon bayesmark

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

chainercv icon chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

cupy icon cupy

NumPy-like API accelerated with CUDA

handyrl icon handyrl

HandyRL is a handy and simple framework for distributed reinforcement learning that is applicable to your own environments.

katib icon katib

Repository for hyperparameter tuning

katib-goptuna-example icon katib-goptuna-example

An example project to run Goptuna based CMA-ES suggestion service on Katib for https://github.com/kubeflow/katib/pull/1131

langchain icon langchain

🦜🔗 Build context-aware reasoning applications

optuna icon optuna

A hyperparameter optimization framework

pfrl icon pfrl

PFRL: a PyTorch-based deep reinforcement learning library

pynvvl icon pynvvl

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

qmk_firmware icon qmk_firmware

keyboard controller firmware for Atmel AVR and ARM USB families

ray icon ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

seed_rl icon seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

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