hkaneko1985 / python_data_analysis_ohmsha

Related projects ⓘ

Alternatives and complementary repositories for python_data_analysis_ohmsha

• resnant / dmol-book-japanese
  Japanese translation of "Deep learning for molecules and materials book"
  ☆13Updated 2 years ago
• kaityo256 / mdstep
  分子動力学法ステップ・バイ・ステップ
  ☆15Updated 5 years ago
• funatsu-lab / support-page
  技術書のサポートページです
  ☆9Updated 4 years ago
• hkaneko1985 / python_doe_kspub
  Pythonで学ぶ実験計画法入門　ベイズ最適化によるデータ解析
  ☆65Updated 2 years ago
• souyakuchan / LLM_DD_Challenge
  Dashboard for LLM Drug Discovery Challenge.
  ☆12Updated last year
• elix-tech / kmol
  kMoL is a machine learning library for drug discovery and life sciences, with federated learning capabilities.
  ☆36Updated 5 months ago
• Mishima-syk / py4chemoinformatics
  Python for chemoinformatics
  ☆223Updated 3 years ago
• hkaneko1985 / dcekit
  DCEKit (Data Chemical Engineering toolKit)
  ☆62Updated 3 weeks ago
• mjrs33 / paper
  ☆17Updated 2 years ago
• matlantis-pfcc / matlantis-contrib
  ☆31Updated 3 weeks ago
• pfnet-research / optuna-book
  ☆27Updated last year
• yoshida-lab / XenonPy
  XenonPy is a Python Software for Materials Informatics
  ☆138Updated 3 months ago
• atarum / GraphNeuralNetworks
  Graph Neural Networks
  ☆16Updated last year
• hidt4 / python-compchem-book
  『Pythonで動かしてはじめる量子化学計算』（コロナ社，2024）
  ☆11Updated 5 months ago
• yoshida-lab / MTL_ChiParameter
  Sample code for "Predicting polymer-solvent miscibility using machine-learned Flory-Huggins interaction parameters
  ☆14Updated 7 months ago
• matlantis-pfcc / atomistic-simulation-tutorial
  Atomistic simulation hands on tutorial on Matlantis
  ☆32Updated last year
• kaityo256 / md2019
  分子動力学法の理論と実装(集中講義ノート)
  ☆29Updated 2 years ago
• kaityo256 / classical_mechanics
  解析力学の講義ノート
  ☆25Updated last week
• c60evaporator / seaborn-analyzer
  ☆91Updated 9 months ago
• nimsos-dev / nimsos
  ☆15Updated 2 months ago
• quantum-tokyo / qiskit-handson
  ☆12Updated last year
• quantum-tokyo / introduction
  ☆14Updated 2 weeks ago
• MasatakaYm / Molecular-Simulation
  分子シミュレーションの理論や関連するトピックをまとめたノート
  ☆20Updated 8 months ago
• YoshioNishimoto / sandbox
  PySCFのチュートリアルです。
  ☆11Updated 4 months ago
• karaage0703 / DeepLearningMugenKnock
  ☆50Updated 4 years ago
• hkaneko1985 / design_of_experiments
  ☆25Updated 3 years ago
• joisino / gnnbook
  書籍『グラフニューラルネットワーク』のサポートサイトです。
  ☆55Updated last month
• yukinaga / gnn
  GNNについて学ぶ講座です。
  ☆34Updated last year
• Ramprasad-Group / copolymer_informatics
  Code for the paper Copolymer Informatics with Multi-Task Deep Neural Networks
  ☆10Updated 2 months ago
• ohuelab / MMGX
  MMGX: Multiple Molecular Graph eXplainable Discovery
  ☆14Updated 7 months ago