Visualize large time series data with plotly.py

A schema and validator for YAML.

ETNA – Time-Series Library

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

PyTorch package for the discrete VAE used for DALL·E.

Python packaging and dependency management made easy

🎨 Diagram as Code for prototyping cloud system architectures

Declarative GUI framework for Python and Qt

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Always know what to expect from your data.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

Synthetic Minority Over-Sampling Technique for Regression

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

A Jupyter Notebook magic for browser notifications of cell completion

The easy way to send notifications

A python library for user-friendly forecasting and anomaly detection on time series.

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

An open-source, low-code machine learning library in Python

HiPlot makes understanding high dimensional data easy

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

A unified framework for machine learning with time series

Distributed Asynchronous Hyperparameter Optimization in Python

A system for quickly generating training data with weak supervision

A small tool/lib to read temperatures and original photos from FLIR® thermal camera images.

Interpretability Methods for tf.keras models with Tensorflow 2.x

Productivity Tools for Plotly + Pandas

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark