Miles Cranmer (MilesCranmer)

MilesCranmer

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Company:Princeton University

Location:NYC

Home Page:astroautomata.com

Twitter:@MilesCranmer

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Miles Cranmer's repositories

PySR

High-Performance Symbolic Regression in Python

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symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

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SymbolicRegression.jl

Distributed High-Performance symbolic regression in Julia

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vim-stream

vims - use vim commands for pipeline filtering in terminal

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gnn_resource_allocation

Code for our paper on doing resource allocation with graph neural networks

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easy_normalizing_flow

Simple normalizing flow with a conditional variable of any size

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rescue_time_statusbar

Show productivity pulse in macOS status bar

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DataDrivenDiffEq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

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ai-deadlines-custom

Customized version of ai-deadlines

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astropy

Repository for the Astropy core package

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better_names

Choosing better names for scientific concepts, especially those with a human name prefixing them

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bootstrap

Set up a build system with zsh, vim, and plugins

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bundle-adjusting-NeRF

BARF: Bundle-Adjusting Neural Radiance Fields šŸ¤® (ICCV 2021 oral)

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einops

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

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gmm-torch

Gaussian mixture models in PyTorch.

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jax-cfd

Computational Fluid Dynamics in JAX

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julia

The Julia Programming Language

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Microbenchmarks

Micro benchmark comparison of Julia against other languages

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NuX

Normalizing Flows using JAX

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Pkg.jl

Pkg - Package manager for the Julia programming language

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pydoc-markdown

Create Python API documentation in Markdown format.

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pyjulia

python interface to julia

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pyjulia-feedstock

A conda-smithy repository for pyjulia.

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pysindy

A package for the sparse identification of nonlinear dynamical systems from data

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pysr-feedstock

A conda-smithy repository for pysr.

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Sapsan

ML-based turbulence modeling for astrophysics

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srbench

A living benchmark framework for symbolic regression

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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