Libraries tagged by predicthq

laplace-demon-ai/demon-dextral-horn

5 Favers
0 Downloads

Laravel package for API prediction/prefetching

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jenutka/titanic_php

4 Favers
47 Downloads

An example project that predicts if Titanic passenger survives for a Kaggle competition using a Random Forest classifier.

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ghostjat/pml

8 Favers
9 Downloads

High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.

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funcai/funcai-php

5 Favers
163 Downloads

High performance, state of the art machine learning in php

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demografix/demografix

1 Favers
6 Downloads

Predict gender, age, and nationality from names. Official PHP client for the genderize.io, agify.io, and nationalize.io APIs, with batches of up to 100 names per request.

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bigreja/bragalotto

0 Favers
5 Downloads

Bragalotto Extension for Superbraga

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danielgnh/polymarket-php

13 Favers
267 Downloads

PHP Package for Polymarket API Integration

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stougeiro/container

0 Favers
6 Downloads

A fast and minimalistic Dependency Injection container focused on predictable behavior, low overhead and clean architecture for modern PHP applications.

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squirrelphp/types

1 Favers
1282 Downloads

Explicit handling of type coercions and enforcement in PHP in order to deal with unknown data in a more predictable and safe way.

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sjoerdmaessen/machinelearning

6 Favers
679 Downloads

Tools for data mining, analysis and predictions in PHP.

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rubix/dota2

16 Favers
196 Downloads

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

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polymarket-php/polymarket-laravel

4 Favers
162 Downloads

Laravel adapter for the Polymarket PHP - Integrate prediction markets into your Laravel applications

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meraki/composition

0 Favers
65 Downloads

A deterministic DI container for PHP 8.4+ with predictable autowiring.

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mb4it/filesystem

0 Favers
342 Downloads

Lightweight filesystem abstraction for PHP with predictable, exception-based API.

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m-wardany/hash-ids

0 Favers
804 Downloads

This package is designed to hash sequential keys so that they appear as random characters, making them difficult to predict. There is no requirement to check if the key already exists in the database before saving, as each key is guaranteed to be unique

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