lkampoli Goto Github PK

gradientpathologiespinns

grins

Multiphysics Finite Element package built on libMesh

grosspitaevskiiequation

Fortran program that solves the three-dimensional Gross - Pitaevskii equation for a system of N bosons confined in a harmonic trap.

gtg

Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).

gtk-fortran

A GTK / Fortran binding

h2m

hal

Hierarchical Agglomerative Learning (HAL-x)

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handyscripts

Useful PyTecplot and Tecplot Macro Scripts.

hanlaomao

Config files for my GitHub profile.

harmony

hcformer

PyTorch implementation of "Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering"

hdbscan

A high performance implementation of HDBSCAN clustering.

hdbscan_paper

Source files and notebooks for a paper on accelerating HDBSCAN*

hddeeplearningstudy

Code etc for Hacker Dojo Deep Learning Study Group

hdf5_utils

High-level hdf5 API for fortran with MPI support

hed

code for Holistically-Nested Edge Detection

hed-1

hello_tf_c_api

Neural Network TensorFlow C API

hep-ml-resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

hepml-livingreview

Living Review of Machine Learning for Particle Physics

hfm

Hidden Fluid Mechanics

hierdiff

A package that is useful for clustering high-dimensional instances (e.g. T cell receptors) and testing whether clusters of instances are differentially abundant in two or more categorical conditions. The package provides d3/SVG rendering of scipy hierarchical clustering dendrograms with zooming, panning and tooltips. This uniquely allows for exploring large trees of datasets, conditioned on a categorical trait.

high_noise_clustering

Techniques to cluster very noisy data (dropouts or random noise)

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

hip

HIP: C++ Heterogeneous-Compute Interface for Portability

hip-fortran

An Open-Source Community Supported Fortran layer for AMD HIP

hipfort

Fortran interfaces for ROCm libraries