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hash_cmp_to_match_file

To match and print 2 same files in different folders.

hash_factory

hashgraph_explained

This is the code for "HashGraph Explained" by Siraj Raval on Youtube

hashingdeeplearning

hashmapimplementations

Various HashMap implementations were created according to the assignment's specifications, which are located in the README. The Open Addressing HashMap supported Linear, Quadratic, and Rehashing probing variants. (Created Fall 2014)

hashtag-understanding

hass-better-radiotherm

hass-data-detective

Explore and analyse your Home Assistant data

hass-rpi-gpiozero

Home Assistant Components using the Gpiozero library.

hassio-addons

:heavy_plus_sign: Docker add-ons for Hass.io

hassio-build

:tractor: Hass.io build tools

hassio-builder

Hass.io build script

hassio-installer

Installer for a generic Linux system

hassio-opencv

Build opencv packages for Home Assistant

hassio-supervisor

:house_with_garden: First private cloud supervisor for home automation

hassio-wheels

Build wheels for Home Assistant

hatch

A modern project, package, and virtual env manager for Python

hate_speech_detector

hathitools

Tools for working with Hathi Trust Research Center extracted features files

haven

Read SPSS, Stata and SAS files from R

hbm_tutorial

A tutorial on Hierarchical Bayesian Modelling

hcluster

Hierarchical Clustering Algorithms

hcluster.js

Agglomerative Hierarchical Clustering in JavaScript. (that plays nice with d3.js).

hcmc_workshop_2016

Modern Methods in Computational Economics in Ho Chi Minh City

hdbscan

A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/

hdbscan-feedstock

A conda-smithy repository for hdbscan.

hdbscan_paper

Source files and notebooks for a paper on accelerating HDBSCAN*

hdhp.py

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

hdlsm

Hierarchical Dirichlet Latent Semantic Motifs model

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.