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hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

hgprofiler

hidalgo-hausmann

A reproduction of Hidalgo & Hausmann 2009 'The building blocks of economic complexity'

hidden_markov_models

hierarchical-bayesian-neural-network

A hierarchical Bayesian neural network optimized with variational inference.

hierarchical-group-sparse-regularization

Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks

hierscale

A scalable toolkit for fitting sparse regression models with pairwise feature interactions

hif

Hybrid Isolation Forest

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

higher-order-organization-matlab

Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"

highorderportfolios

Design of High-Order Portfolios via Mean, Variance, Skewness, and Kurtosis

highs

Linear optimization software

hiop

HPC solver for nonlinear optimization problems

hippo-code

hiscore

HiScore makes creating sophisticated scores easy

hissp

It's Python with a Lissp.

hist

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

historic_events

A large, open data set of historic events.

hledger

The hledger command-line/curses/web accounting tool, a Haskell rewrite of ledger.

hmm_market_behavior

Unsupervised Learning to Market Behavior Forecasting Example

hmmcount

Hidden Markov Models for Count Data

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hmms_stock_market

Contains all code related to using HMMs to predict stock market prices.

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

hnswlib

Header-only C++/python library for fast approximate nearest neighbors

hoag

Hyperparameter optimization with approximate gradient

holmes-extractor

Information extraction from English and German texts based on predicate logic

holochain-proto

Holographic storage for distributed applications -- a validating monotonic DHT "backed" by authoritative hashchains for data provenance (a Ceptr sub-project)

holoclean

A Machine Learning System for Data Enrichment.

holoviews

With Holoviews, your data visualizes itself.