matthewcarbone/Crescendo

A greatly abstracted machine learning suite built for ease of use, powered by Hydra + Lightning

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matthewcarbone/matthewcarbone

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matthewcarbone/CREASE-2D Fork of arthijayaraman-lab/CREASE-2D

Computational Reverse Engineering Analysis of Scattering Experiments Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D)

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matthewcarbone/monty Fork of materialsvirtuallab/monty

This repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.

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matthewcarbone/Bootcamp

A collection of tutorials and resources for data science and machine learning

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matthewcarbone/.dotfiles

My config files ("~/.dotfiles")

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matthewcarbone/python-uv-template

A quick template for projects using Python and uv - see the wiki for instructions

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matthewcarbone/Composer

Agentic AI sandbox

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matthewcarbone/GGCE

Numerically exact Green's functions for lattice polaron models, easily and efficiently

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matthewcarbone/ScientificValueAgent

The Scientific Value Agent

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matthewcarbone/matthewcarbone.github.io

:sparkles: My website!

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matthewcarbone/AI-Sandbox

Sandbox for code generated with agentic AI systems

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matthewcarbone/smolagents Fork of huggingface/smolagents

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

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matthewcarbone/langchain Fork of langchain-ai/langchain

🦜🔗 Build context-aware reasoning applications

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matthewcarbone/latex-utils

A catch-all template for scientific manuscripts, with an initial focus on standard arXiv formats, Physical Review journals, etc.

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matthewcarbone/GrantGist

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matthewcarbone/hdspin

Lightning-fast simulator for the Exponential and Gaussian Random Energy Models

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matthewcarbone/gpax Fork of ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences - EXPERIMENTAL FORK

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matthewcarbone/AIML-tutorials Fork of AIMLWG/AIML-tutorials 📦

Repository for containing the tutorial series for the AI/ML working group

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matthewcarbone/bpu

A collection of useful python utilities

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matthewcarbone/pymatgen Fork of materialsproject/pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

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matthewcarbone/easy-python-version

Replaces the Python version in your project's __version__.py with that found in VCS

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matthewcarbone/Doubletime

A comprehensive, Rust-level fast project time tracker

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matthewcarbone/NSLS-II-ISS-xview Fork of NSLS-II-ISS/xview

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matthewcarbone/EasyBayes

Probabilistic modeling, Gaussian process and Bayesian optimization sandbox

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matthewcarbone/matgl Fork of materialsvirtuallab/matgl

Graph deep learning library for materials

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matthewcarbone/cmdr

Simple quality of life utilities for the command line

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matthewcarbone/easypub

Easily download publication information via CrossRef, the arXiv and ChemArxiv starting from only doi

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matthewcarbone/iss_xas_tools Fork of NSLS-II-ISS/xas

Calculation tools for X-ray absorption spectroscopy at NSLS-II

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matthewcarbone/Lightway Fork of AI-multimodal/aimmdb

Analysis and quality assurance/control pipeline for the NSLSII Inner-Shell Spectroscopy beamline

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matthewcarbone/tiled Fork of bluesky/tiled

This is an experimental prototype.

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matthewcarbone/botorch Fork of pytorch/botorch

Bayesian optimization in PyTorch

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matthewcarbone/old-website Fork of daattali/beautiful-jekyll 📦

:sparkles: Personal website

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matthewcarbone/old-website-2 📦

My personal website

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matthewcarbone/cmake_example Fork of pybind/cmake_example

Example pybind11 module built with a CMake-based build system

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matthewcarbone/mmm-experiments Fork of NSLS-II-PDF/mmm-experiments

Python package for running multimodal madness experiments with BMM

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matthewcarbone/pybind11_python_build_example Fork of pybind/python_example

Example pybind11 module built with a Python-based build system

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matthewcarbone/csi-spark-prep Fork of dbiersach/csi-spark-prep

Foundations of Scientific Computing

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matthewcarbone/scientific-python-cookiecutter Fork of NSLS-II/scientific-python-cookiecutter

a tutorial and 'cookiecutter' template for a scientific Python library

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matthewcarbone/test-project

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matthewcarbone/blue-penguin Fork of jody-frankowski/blue-penguin

A clean and minimalist Pelican theme

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matthewcarbone/blitz-bayesian-deep-learning Fork of piEsposito/blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

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matthewcarbone/gpubootcamp Fork of openhackathons-org/gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

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matthewcarbone/xca Fork of maffettone/xca

Crystallography Companion Agent

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matthewcarbone/py4vasp Fork of vasp-dev/py4vasp

Python interface for VASP

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matthewcarbone/aimm-post-processing Fork of AI-multimodal/aimm-post-processing

Python package for managing and controlling XAS post-processing applications and data.

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matthewcarbone/PyXtal Fork of qzhu2017/PyXtal

A code to generate atomic structure with symmetry

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matthewcarbone/iqsq Fork of jklynch/iqsq

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matthewcarbone/workshop Fork of materialsproject/workshop

The Materials Project Workshop Curriculum

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matthewcarbone/hydra_examples Fork of YHRen/hydra_examples

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matthewcarbone/SpectralVAE Fork of ColeMiles/SpectralVAE

Disentangling variational autoencoders for discovering underlying physical descriptors in collections of spectral functions

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matthewcarbone/pyroVED Fork of ziatdinovmax/pyroVED

Variational encoder-decoder models in Pyro probabilistic programming language

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matthewcarbone/BasisVAE Fork of kasparmartens/BasisVAE

PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

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matthewcarbone/harmony-1

Hyperparameter tuning on the cluster with Keras and tensorflow

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matthewcarbone/hack

WHRHS HillsHack Repository. We will post all the code and content from the Hackathons from years past here!

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matthewcarbone/atomai Fork of pycroscopy/atomai

Deep and machine learning for atomic-scale, nanoscale, and mesoscale data

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matthewcarbone/gym Fork of openai/gym

A toolkit for developing and comparing reinforcement learning algorithms.

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matthewcarbone/Trilinos Fork of trilinos/Trilinos

Primary repository for the Trilinos Project

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matthewcarbone/training-assignments-simple Fork of BetterCodeHubTraining/training-assignments-simple

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matthewcarbone/train Fork of NERSC/train

resources for user training exercises

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matthewcarbone/talos Fork of autonomio/talos

Hyperparameter Optimization for Keras Models

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matthewcarbone/xrayMP

Pull and process XANES spectra from the Materials Project.

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matthewcarbone/omicron

Fitting spectral functions using machine learning. (Note in its current state, this code doesn't do anything yet!)

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matthewcarbone/mpnn Fork of brain-research/mpnn

Open source implementation of "Neural Message Passing for Quantum Chemistry"

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matthewcarbone/SLURM-examples Fork of statgen/SLURM-examples

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matthewcarbone/summer-program Fork of CCQC/summer-program

Repository for all summer program related programs

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matthewcarbone/streamz Fork of python-streamz/streamz

Real-time stream processing for python

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matthewcarbone/paragon

Comprehensive and easy-to-use parameter file saver for Python 3.

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matthewcarbone/OpenFermion Fork of quantumlib/OpenFermion

The electronic structure package for quantum computers.

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matthewcarbone/hdwell

Monte Carlo methods in high dimensional potential wells.

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matthewcarbone/mpl

Useful things for matplotlib.

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matthewcarbone/intro-numerical-methods Fork of mandli/intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

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matthewcarbone/gae-pytorch Fork of zfjsail/gae-pytorch

Graph Auto-Encoder in PyTorch

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matthewcarbone/design-tutorial Fork of exalearn/design-tutorial

Tutorial materials used by Design subgroup for the ECP Annual Meeting

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matthewcarbone/draw_convnet Fork of gwding/draw_convnet

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matthewcarbone/EffectiveEngine

A collection of effective scripts so I - and nobody else - needs to remember how to implement them ever again!

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matthewcarbone/DEEP-GLASS Fork of mbaityje/DEEP-GLASS

Learning dynamics of deep feedforward networks analyzed analyzed with a glassy approach.

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matthewcarbone/ColumbiaDissertationTemplate Fork of zabore/ColumbiaDissertationTemplate

LaTeX template for a Columbia University doctoral dissertation

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matthewcarbone/cpp

Various implementations of functions in C++.

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matthewcarbone/gp-structure-search Fork of jamesrobertlloyd/gp-structure-search

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