Tensors and Dynamic neural networks in Python with strong GPU acceleration

Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.

Thesis project that focuses on analyzing and visualizing polarimetric observations of Vela C and Orion A molecular clouds to understand their magnetic field structures and relationships with column density.

Exercícios do curso "Profissao: Cientista de Dados", sendo realizado pela EBAC - Escola Britânica de Artes Criativas e Tecnologia.

Datasets for Machine Learning

A short numpy project demonstrating the usage of the NumPy module

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

Estimation of elastic waves velocities in anisotropic solids

Check signature params for proper documentation

A facial recognition system for marking attendance at university tutorials

Abstract your array operations.

Data Analysis Practice Repository

This is a repository for immersive learning, meditation or software development.

Calculation methods implementations on Python

"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.

Information Retrieval is the process of accessing relevant information from data sources using techniques like indexing and ranking. It is crucial for search engines, databases, and digital libraries for efficient information access.

NanoTorch is Deep Learning Library from scratch using Numpy and Math.

An introduction to numeric Python for MATLAB programmers

A starter guide github repository for people interested in AI and machine learning.

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...