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hanlaomao

Config files for my GitHub profile.

hcformer

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

hdbscan

A high performance implementation of HDBSCAN clustering.

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

hippunfold

BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)

hippunfolding

Code for unfolding of hippocampal grey matter using Laplacian equation. Requires manual labelling of the hippocampal 'dark band' and grey matter, as well as some surrounding structures (see associated publication for instructions)

holy-edge

Holistically-Nested Edge Detection

hopr

HOPR is an open-source tool for the generation of three-dimensional unstructured high-order meshes.

hotspot

The Linux perf GUI for performance analysis.

hp-vpinns

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

hpinn

hPINN: Physics-informed neural networks with hard constraints

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

htr-solver

Hypersonic Task-based Research (HTR) solver for the Navier-Stokes equations at hypersonic Mach numbers including finite-rate chemistry for dissociating air and multicomponent transport.

hub

A library for transfer learning by reusing parts of TensorFlow models.

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

hybrid-fortran

Accelerate with CUDA, OpenACC and OpenMP - Unified and Performance Portable

hybrid-sindy

Sparse Identification of Nonlinear Dynamics for Hybrid Systems

hynecc-documentation

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-sklearn

Hyper-parameter optimization for sklearn