Piotr's Projects
Compare training on dense vs sparse data on data from neutrino experiments
This is a bunch of code to port Keras neural network model into pure C++.
Minimal keyword extraction with BERT
Easy to use Python library of customized functions for cleaning and analyzing data.
Kanban boards with React & Django.
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
attempts to make a jupyterlab react component
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Organize PyTorch Experiments
Leap day is a Jekyll theme for GitHub Pages
Legal Documents for Submotion
Nginx and Let’s Encrypt with Docker Compose in less than 3 minutes
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Lime: Explaining the predictions of any machine learning classifier
Plugin manager and installer for Node.JS
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Automatically visualize your pandas dataframe via a single print! 📊 💡
:mailbox: SMTP Server + Web Interface for viewing and testing emails during development.
hosting different media files
Convert Python notebook to web app and share with others
A demo of using mercury to deploy a Jupyter notebook as a dashboard
Mercury Demo Notbooks
Deploy Mercury Notebooks to railway.app
Deploy Jupyter Notebook as web app to Heroku with Mercury
Demo Notebooks converted to web apps with Mercury
Measure and visualize machine learning model performance without the usual boilerplate.
A minimalist CSS framework.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent