A highly efficient implementation of Gaussian Processes in PyTorch

A data framework for biology. Makes your data queryable, traceable, reproducible, and FAIR. One API: lakehouse, lineage, feature store, ontologies, LIMS, ELN.

Distributed single-cell data analysis.

Deep universal probabilistic programming with Python and PyTorch

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Line-by-line profiling for Python

Deep probabilistic analysis of single-cell and spatial omics data

Optional static typing for Python

A specification that python filesystems should adhere to.

Type hints support for the Sphinx autodoc extension

Books with Jupyter notebooks

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP-440

Github Actions for publishing Sphinx HTML output to github pages

You like pytorch? You like micrograd? You love tinygrad! ❤️

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

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🦜🔗 The platform for reliable agents.

Cellarium Cloud Core Library

Bayesian analysis of co-localization single-molecule microscopy image data.

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

Typer, build great CLIs. Easy to code. Based on Python type hints.

🦉 Data Versioning and ML Experiments

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A functional programming language based on algebraic effect handlers

pytest plugin for Qt (PyQt5/PyQt6 and PySide2/PySide6) application testing

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Functional tensors for probabilistic programming