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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
Typer, build great CLIs. Easy to code. Based on Python type hints.
Distributed single-cell data analysis.
Open-source data framework for biology. Context and memory for datasets and models at scale. Query, trace & validate with a lineage-native lakehouse that supports bio-formats, registries & ontologi…
Use git repo data (latest tag, current commit hash, etc) for building a version number according PEP-440
Deep probabilistic analysis of single-cell and spatial omics data
Type hints support for the Sphinx autodoc extension
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
pytest plugin for Qt (PyQt5/PyQt6 and PySide2/PySide6) application testing
A specification that python filesystems should adhere to.
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
A highly efficient implementation of Gaussian Processes in PyTorch
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A functional programming language based on algebraic effect handlers
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Github Actions for publishing Sphinx HTML output to github pages
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Deep universal probabilistic programming with Python and PyTorch
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Functional tensors for probabilistic programming
Bayesian analysis of co-localization single-molecule microscopy image data.