fermiq Goto Github PK
Name: FermiQ
Type: User
Bio: Im an intergalactic dust particle; hanging on a limited lifespan; anticipating a lightYr. old ray of luv 2 consummate with QFT; QT; Statistical Probabilistic QC
Location: Neutrino
FermiQ's Projects
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
jax-md
Differentiable, Hardware Accelerated, Molecular Dynamics
jaxchem
JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
jburkardt-c
An official Git Mirror of John Burkardt's great collection of C Software
jburkardt-cpp
An official Git Mirror of John Burkardt's great collection of C++ Software
jburkardt-f
An official Git Mirror of John Burkardt's great collection of FORTRAN 90 Software
jburkardt-f77
An official Git Mirror of John Burkardt's great collection of FORTRAN 77 Software
jburkardt-m
An official Git Mirror of John Burkardt's great collection of MATLAB Software
jburkardt-py
An official Git Mirror of John Burkardt's great collection of Python Software
jdftx
JDFTx: software for joint density functional theory
jraph
A Graph Neural Network Library in Jax
jupyter
Jupyter metapackage for installation, docs and chat
jupyter-book
A starting Jupyter book for MolSSI tutorials
jupyter_notebook_examples
Example Notebooks and Manual for the Hubzero and nanoHUB Jupyter Notebook Server
jupyter_notebook_setup
jupyterhub
Multi-user server for Jupyter notebooks
jupyterlab-hdf5
Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
jupyterlab-hide-code
A JupyterLab extension to run and hide code cells.
katex
Fast math typesetting for the web.
kayak
Kayak is a library for automatic differentiation with applications to deep neural networks.
keras
Deep Learning for humans
keras-io
Keras documentation, hosted live at keras.io
keras-sequential-ascii
ASCII summary for simple sequential models in Keras
kite
KITE Quantum Transport Software
kmcos
Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.
komega
Library for solving linear problems in materials science
kramersmoyal
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
kubernetes_basics
Course teaching kubernetes basics
kwant
Mirror of the Kwant project https://gitlab.kwant-project.org/kwant/kwant
labs
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
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