Rich is a Python library for rich text and beautiful formatting in the terminal.

Streamlit — A faster way to build and share data apps.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

⚡ A Fast, Extensible Progress Bar for Python and CLI

The fundamental package for scientific computing with Python.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Data Apps & Dashboards for Python. No JavaScript Required.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Machine learning, in numpy

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

SciPy library main repository

Open source code for AlphaFold 2.

Parallel computing with task scheduling

100 numpy exercises (with solutions)

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

Super Resolution for images using deep learning.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

NumPy & SciPy for GPU

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Uniform Manifold Approximation and Projection

Efficiently computes derivatives of NumPy code.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

📚 Parameterize, execute, and analyze notebooks

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

Cracking the Coding Interview 6th Ed. Python Solutions

Panel: The powerful data exploration & web app framework for Python