toshihikoyanase
A software engineer. Python / Deep Learning / Evolutionary Computation.
Preferred Networks, Inc.Tokyo, Japan
toshihikoyanase's Stars
argoproj/argo-workflows
Workflow Engine for Kubernetes
arc53/DocsGPT
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
ctgk/PRML
PRML algorithms implemented in Python
optuna/optuna
A hyperparameter optimization framework
cupy/cupy
NumPy & SciPy for GPU
OpenBMB/ToolBench
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
VOICEVOX/voicevox
無料で使える中品質なテキスト読み上げソフトウェア、VOICEVOXのエディター
llm-jp/awesome-japanese-llm
日本語LLMまとめ - Overview of Japanese LLMs
airspeed-velocity/asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
rezoo/movis
Python library for video editing, presentation video generation, motion graphics, shader art coding, and other video production tasks
pfnet/pytorch-pfn-extras
Supplementary components to accelerate research and development in PyTorch
oreilly-japan/deep-learning-from-scratch-5
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
coastalcph/lex-glue
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Quansight-Labs/free-threaded-compatibility
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
llm-jp/llm-jp-eval
pfnet-research/japanese-lm-fin-harness
Japanese Language Model Financial Evaluation Harness
optuna/optunahub
Python library to use packages in OptunaHub
optuna/optunahub-registry
The registry of the OptunaHub packages
tonybaloney/pytest-freethreaded
naotaka1128/ai_app_book
optuna/optuna-fast-fanova
[NOT MAINTAINED] Cython accelerated fANOVA implementation for Optuna.
okdshin/flatline_lsp
Github Copilot-like LSP code completion server with local LLM powered by llama.cpp
jcrvz/customhys
Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
not522/optuna-cpp
Optuna C++ binding
peisuke/generative_ai_notebooks
optuna/optunahub-web
Frontend of OptunaHub Registry
naoyaozaki/LambertProblem.jl
Julia code of Lambert's Problem
hideaki-ishibashi/stopping_BO
msykoba/lambert_optimization