Skip to content
View pvk-developer's full-sized avatar

Organizations

@HDI-Project @sintel-dev @DAI-Lab @sdv-dev

Block or report pvk-developer

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pvk-developer/README.md

Hey there! πŸ‘‹

I'm Plamen, and I've been passionately contributing to the open-source software community since 2018.

πŸš€ About Me

My open-source journey began as a software engineer at DAI-Lab, where I faced and conquered a multitude of intriguing challenges. These experiences not only sharpened my skills but also broadened my horizons in the realms of open source and software engineering.

πŸ”­ What I'm Up To

I'm currently a part of the fantastic team at DataCebo, the proud creators of SDV, the largest ecosystem for synthetic data generation and evaluation. My role involves developing new features, refactoring, and maintaining various projects within this ecosystem. Here are some of the key projects I'm actively involved in:

  • SDV: The Synthetic Data Vault, a powerful synthetic data generation tool that maintains the same format and statistical properties as the real data.

  • RDT: Reversible Data Transforms, a Python library for transforming raw data into fully numerical data.

  • CTGAN: A collection of deep learning-based synthetic data generators for single table data.

  • Copulas: A Python library for modeling multivariate distributions and sampling from them using copula functions.

  • DeepEcho: A synthetic data generation Python library for mixed-type, multivariate time series.

  • SDMetrics: A library that evaluates synthetic data by comparing it to the real data you're trying to mimic.

  • SDGym: Synthetic Data Gym, a framework for benchmarking the performance of synthetic data generators based on SDV and SDMetrics.

πŸ† Contributions

Over the years, I've had the privilege of contributing to several public repositories, including:

  • SteganoGAN: A tool for creating steganographic images using adversarial training.

  • MLPrimitives: Pipelines and primitives for machine learning and data science.

  • MLBlocks: A simple framework for composing end-to-end tunable machine learning pipelines.

  • BTB: Bayesian Tuning and Bandits, a tool for hyperparameter tuning and model selection.

  • AutoBazaar: An AutoML system combining BTB, MLPrimitives, and MLBlocks.

  • mit-d3m-ta2: MIT-Featuretools TA2 submission for the D3M program.

  • ATM: Auto Tune Models, an AutoML system designed with ease of use in mind.

  • Orion: A machine learning library for unsupervised time series anomaly detection.

  • SigPro: An end-to-end solution for efficiently applying multiple signal processing techniques to raw time series data.

  • Draco: A collection of end-to-end solutions for machine learning problems commonly found in monitoring wind energy production systems.

Feel free to explore these projects and don't hesitate to reach out if you have any questions or would like to collaborate!

Popular repositories Loading

  1. BTB BTB Public

    Forked from MLBazaar/BTB

    Bayesian Tuning and Bandits: a simple, extensible library for developing AutoML systems.

    Python 2

  2. Orion Orion Public

    Forked from sintel-dev/Orion

    An auto machine learning library for detecting anomalies in telemetry data from satellites.

    Jupyter Notebook 1

  3. MLPrimitives MLPrimitives Public

    Forked from MLBazaar/MLPrimitives

    Machine Learning Primitives for MLBlocks

    Python

  4. python-vimrc python-vimrc Public

    Forked from ets-labs/python-vimrc

    VIM Configuration for Python / Cython / C Development

    Vim Script

  5. MLBlocks MLBlocks Public

    Forked from MLBazaar/MLBlocks

    A library for composing end-to-end tunable machine learning pipelines.

    Python

  6. SDV SDV Public

    Forked from sdv-dev/SDV

    Automated hierarchical generative modeling for a relational time series databases and sampling

    Python