Blog and Portfolio page.
-
Updated
May 18, 2024
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Blog and Portfolio page.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Config files for my GitHub profile.
site repo
An Open Source Machine Learning Framework for Everyone
Video Games Data is a project that provides video game related data to explore and analyze for data enthusiasts, data scientists and machine learning practitioners.
WebApps in pure Python. No JavaScript, HTML and CSS needed
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Building web apps without manually creating widgets
1 Day 1 Hour Coding
A small deep learning library that goes gigafast (not yet though).
A classification project on phishing detection
This repository serves as a culmination of my studies, dedicated to housing meticulously crafted implementations of various models, including Decision Trees (DTs), Logistic Regression (Lgr), and more, meticulously developed from scratch.
Este repositório é focado em todos os códigos que produzi relacionados a generative ai.
The Mojo Programming Language
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Structured machine learning project