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algorithms-in-php

popular algorithms in PHP

aws-ai-services-example

classify-dogs-tensorflow-aws-ground-truth

Dog images classificator build using tensorflow library and AWS Ground Truth service for dataset preparation.

companydescriptionclassification

create-transformer

This repository shows how to create transformer from scratch.

etl-adapter-yaml

YAML files adapter for flow-php lib

flow

Flow PHP - strongly typed data processing framework

flying-drone-object-detection

DJI Ryze Tello drone programmed for autonomous actions and detect objects using machine learning models.

llm-chatbot-rag-langchain

RAG (Retrieval-augmented generation) and langchain chat bot example

ml-in-php-start-templates

This project is supposed to be a starting template for replacing business logic in PHP projects with machine learning models. I add here common use cases of how to use machine learning models in PHP projects. In order to use it in your projects you need to replace the data with your dataset and adjust data import and feature engineering stages.

nlp-tools

Text normalizer and sentence splitter based on python

parkinson-fog-prediction

Parkinson freezing of gait episode prediction based on time series. repository contains jupyter notebooks for Kaggle competition that were placed in 20% of best model scores https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction

php

All Algorithms implemented in PHP

php-rag

This application uses LLM (Large Language Model) GPT-4o accessed via OpenAI API in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of transformers and access to source documents.

phpcnn

Training convolutional neural network model in PHP to predict actions of self-driving car.

posts_drupal_to_wp_cli_importer

this script was implemented to import posts and their categories from Drupal 7 to wordpress 4.8

self-driving-car-raspberry

Raspberry Pi self driving car using tensor flow convolutional neuron networks model.

speech-recognition-api-example

Simple example for building program in Python with speech recording and recognition using speech_recognition library

supervised-machine-learning-full-examples

This repository contain notebooks with full analysis and machine learning process for different types of datasets including: prices prediction, numeric and categorical data classification and natural language text classification

train-ner-model-with-spacy

Custom training NER model with spacy library and annotaded dataset in JSON