M

ML

A comprehensive Python toolkit for analyzing protein structures and small molecules using real datasets from RCSB PDB and FDA-approved drugs.

A comprehensive machine learning pipeline for classifying astronomy images into 6 categories of celestial objects, featuring advanced data preprocessing, exploratory data analysis, and deep learning classification models.

https://huggingface.co/spaces/Saqib772/Astronomy_image_classfication

Kaggle Notebook: https://www.kaggle.com/code/saqibiqbal2/astronomy-image-classification

A fully documented, GPL-licensed Large Language Model, that respects your freedoms while teaching you how it works

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

Fundamental theory and practice in Machine Learning (ML) and Data Science. 🧮

Practical tasks on Deep Learning (DL) and Neural Networks. 🤖

Here’s the source code for my exploratory data analysis and model training for a movie recommendation system. The main model deployment code is in this repository.

Deployment Repo: (https://gitlab.com/aydie/ml-model-netflix-recommendation-system)

Website: aydie.in Contact: business@aydie.in

House Prices Competition on Kaggle

A Computer Vision algorithm for Malaria parasite detection and classification in digital images of thick blood smears.

A comprehensive exploration of various machine learning algorithms, including supervised, unsupervised, and reinforcement learning methods. This project will implement, analyze, and optimize algorithms like decision trees, random forests, SVMs, and neural networks, providing hands-on experience in selecting and applying them for different use cases.

Usefulls statistical fonctions and machine learning helpers found during my courses or lectures or exemples

Третья практическая работа по ТАД'у 🧑‍🎤

A Ghidra plugin that renames variables based on machine learning predictions.

In this project we use this data: https://www.kaggle.com/competitions/customer-churn-prediction-2020/overview from Kaggle. The main goal of the project is to predict whether a customer will change telco provider

Сервер, который проксирует запросы к инстансу ollama (opensource сервер для нейросетевых LLM моделей). По умолчанию используется модель openchat, но это легко изменить переменной OLLAMA_MODEL

Marine biologists engaged in the study of coral reefs invest a significant portion of their time in manually processing data obtained from research dives. The objective of this challenge is to create an image segmentation pipeline that accelerates the analysis of such data. This endeavor aims to assist conservationists and researchers in enhancing their efforts to protect and comprehend these vital ocean ecosystems. Leveraging computer vision for the segmentation of coral reefs in benthic imagery holds the potential to quantify the long-term growth or decline of coral cover within marine protected areas.

Meetup PyMX Septiembre 2023 Usando Servicios Administrados de AI de AWS con Python y Boto3

Развертывание модели и запуск обучения по расписанию с использованием Airflow в Docker.