A highly efficient implementation of Gaussian Processes in PyTorch

Open-source data framework for biology. One API: lakehouse, lineage, feature store, ontologies, bio-registries & formats. 🍊YC S22

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.

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