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Broad Institute, DSP
- Cambridge, MA
- https://cellarium-ai.github.io/cellarium-ml/
- @ordabayevy
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Distributed single-cell data analysis.
Deep probabilistic analysis of single-cell and spatial omics data
A specification that python filesystems should adhere to.
Type hints support for the Sphinx autodoc extension
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 (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
🦜🔗 Build context-aware reasoning applications
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.
🦉 ML Experiments and Data Management with Git
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.
Deep universal probabilistic programming with Python and PyTorch
Functional tensors for probabilistic programming