• 👀 I’m interested in Data Science, Computer Vision, Generative AI
• 🌱 I’m currently learning Bioinformatics

• Foreign Function Interface (FFI):

Rembg |

CRAN |

• Math:
• Statistics:
• Plots:
• Data: ( )
• Natural Language Processing (NLP): NLTK | wordcloud |
  • NLP-ru: pymorphy2 |
• misc: PyAutoGUI | argparse | python-dotenv | mypy | prettyTables | pyComBat | iterative-stratification |

• Models:
  • Regression: LinReg | LASSO | Ridge | EN | kNN | SVM | MLP | DT | RF | ET |
  • Classification: LogReg | Ridge | NB | kNN | SVM | MLP | DT | RF | ET | LDA | QDA |
  • Ensemble techniques: bagging | voting | stacking |
• Boosting: Ada | GB | НGB |
• Clustering: K-Means | HClust | DBSCAN |
• Dimensionality Reduction:
  • Matrix Decomposition: PCA | IPCA | KPCA |
  • Manifold Learning: t-SNE | UMAP | VAE |
• Outlier & Anomaly Detection: PyOD |
  • IForest | EE | LOF |
• Feature Selection: RFE | FDR | FPR | FWE | from_model | K-best | percentile | sequential | low_var | Boruta-Shap |
• Imbalanced Data: SMOTE-variants |
  • Under-sampling: RUS | ENN | NearMiss | TomekLinks |
  • Over-sampling: ROS | SMOTE | ADASYN |
  • Over- & Under-sampling: SMOTEENN | SMOTETomek |
• Explainable AI: scikit-plot

hyperopt-sklearn | auto-sklearn | PHOTONAI |

• EDA: missingno |

• Neural Architecture Search (NAS): KerasTuner |

• TensorFlow environment: TensorBoard | Probability | tf-explain |

• state of the art (SotA): 🦜️ LangChain

• 🤗 Hugging Face : Transformers | Datasets | 🧨 Diffusers |

• Playgrounds: TensorFlow Playground | ConvNet PlayGround | TensorSpace.js | Tiktokenizer | code2vec | GAN Lab | Transformer Explainer | Diffusion Explainer |

Whisper | SpeechRecognition | gTTS | music21 |

bs4

• Frameworks:
• Telegram bots:
• VK bots:

Tableau | Yandex DataLens

Google Colab | Yandex DataSphere | GitHub Codespaces | Replit |

x86 | x86-64 | E2k | AVR | ARM

NVIDIA CUDA | Intel MKL | IBM zSeries