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FermiQ's Projects

hipart icon hipart

HiPart is a program to analyze the electronic structure of molecules with fuzzy-atom partitioning methods.

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

horton icon horton

HORTON: Helpful Open-source Research TOol for N-fermion systems

hparams icon hparams

A thoughtful approach to hyperparameter management.

hphi icon hphi

Quantum Lattice Model Simulator Package

hpm icon hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

htgw icon htgw

Package for automatic GW calculations.

hubbard icon hubbard

Python tools for mean-field Hubbard models

hypergrad icon hypergrad

Exploring differentiation with respect to hyperparameters

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

i-pi icon i-pi

i-PI: a universal force engine

ilustrado icon ilustrado

High-throughput crystal structure prediction with genetic algorithms.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

inelastica icon inelastica

Python package for eigenchannels, vibrations and inelastic electron transport based on SIESTA/TranSIESTA DFT

interviews.ai icon interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

iodata icon iodata

Python library for reading, writing, and converting computational chemistry file formats and generating input files.

ipyparallel icon ipyparallel

IPython Parallel: Interactive Parallel Computing in Python

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

itensor icon itensor

A C++ library for efficient tensor network calculations

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