Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-learn: machine learning in Python

The uncompromising Python code formatter

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Parallel computing with task scheduling

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Modin: Scale your Pandas workflows by changing a single line of code

A debugging and profiling tool that can trace and visualize python code execution

A Python utility / library to sort imports.

📚 Parameterize, execute, and analyze notebooks

a script to run docker-compose.yml using podman

🌠 Dark powered asynchronous completion framework for neovim/Vim8

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

N-D labeled arrays and datasets in Python

Full-screen console debugger for Python

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

%%sql magic for IPython, hopefully evolving into full SQL client

A JupyterLab plugin to facilitate invocation of code formatters.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …

SQLAlchemy driver for DuckDB

Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly

JayDeBeApi module allows you to connect from Python code to databases using Java JDBC. It provides a Python DB-API v2.0 to that database.

Native Kubernetes integration for Dask

Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...

python logging handler for mongo database

Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes information generation (client names, phone numbers, etc...), patte…