Shotaro Sano's repositories
abci-optuna-horovod-example
This is a tutorial material to use Optuna in the ABCI infrastructure (unofficial).
atomistic-simulation-tutorial
Atomistic simulation hands on tutorial on Matlantis
eclipse-collections
The Eclipse Collections Project
bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
cupy
NumPy-like API accelerated with CUDA
HandyRL
HandyRL is a handy and simple framework for distributed reinforcement learning that is applicable to your own environments.
J-Quants-Tutorial
J-Quants-Tutorial
katib
Repository for hyperparameter tuning
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
🦜🔗 Build context-aware reasoning applications
mikanos
Educational Operating System
optuna-dashboard
Real-time Web dashboard for Optuna.
optuna-examples
Examples for https://github.com/optuna/optuna
pfrl
PFRL: a PyTorch-based deep reinforcement learning library
pytorch-pfn-extras
Supplementary components to accelerate research and development in PyTorch
qmk_firmware
keyboard controller firmware for Atmel AVR and ARM USB families
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.
sandbox
Sandbox
seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
xfeat
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.