Discover @HROlive Open Source projects

Hugo Oliveira (@HROlive)

HROlive

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105
Global Rank 200,739 (Top 7 %)
Followers 22
Registered almost 7 years ago
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85.0 %

Python
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C#
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HTML
5.0 %
Location 🇵🇹 Portugal
Country Total Rank 1,522
Country Ranking

Jupyter Notebook
14

C#
387

HTML
850

Python
1,935

Applications-of-AI-for-Predictive-Maintenance

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

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Applications-of-AI-for-Anomaly-Detection

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

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Secure-and-Private-AI

This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Encrypted Computation.

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Advanced-Deep-Learning-with-Transformers

Workshop that will take you from Graph Neural Networks (GNNs) to Transformers, architectures which have led to numerous breakthrough achievements in a variety of fields such as Natural Language Processing (NLP), chemistry, and physics.

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Tropical-Cyclone-Intensity-Estimation

Solution for categorizing hurricanes based on intensity, using a deep convolutional neural network architecture trained on GPUs. It was developed during the "NCC Portugal AI for Science Bootcamp" and it's mainly a recreation of the research paper titled "Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network".

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From-Data-to-Insights-with-Google-Cloud-Platform

Four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform

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Unreal-Engine-for-Remote-Visualization-and-Machine-Learning

In-depth training to using Unreal Engine as a data generator and integrat it in a simple ML workflow, in one of the leading supercomputing centres.

Fundamentals-of-Accelerated-Computing-with-CUDA-C-Cpp

Accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.

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Python4HPC

Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.

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Computer-Vision-Nanodegree

As one of the 300 scholars chosen among 6,000 from the first phase, "Secure and Private AI" by Facebook AI, I have earned a full scholarship to Udacity’s Computer Vision Nanodegree

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Poland-End-To-End-LLM-Bootcamp

This bootcamp is designed to give NLP researchers an end-to-end overview on the fundamentals of NVIDIA NeMo framework, complete solution for building large language models. It will also have hands-on exercises complimented by tutorials, code snippets, and presentations to help researchers kick-start with NeMo LLM Service and Guardrails.

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Introduction-to-Bayesian-Statistical-Learning

Concepts of Bayesian Statistics, Bayesian inference, computational techniques and knowledge about the different types of models as well as model selection procedures.

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LeetCode-Python-Solutions

This repository contains my solutions to several LeetCode problems, in Python.

Introduction-to-Quantum-Computing-Hybrid-HPC-QC-Systems

ENCCS joined forces with NordIQuEst to deliver a workshop covering the fundamentals of quantum computing and hybrid HPC-QC systems.

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Introduction-to-Explainable-Deep-Learning-on-Supercomputers

A solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights.

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Video-Artistic-Style-Transfer

Transfer the style from one or more images (for example, a painting) to a whole video using Pytorch

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Feedzai-Catch-the-Fraudster

The goal of the competition was to predict fraudulent transactions on a dataset with about 40 million instances, with some characteristics similar to the datasets processed by Feedzai.

Big-Data-analysis-with-Hadoop-and-RHadoop

Foundations of “Big Data” processing by introducing the Hadoop distributed computing architecture and providing an introductory level tutorial for Big Data analysis using Hadoop, Rhadoop, and R libraries parallel, doParallel, foreach and Rmpi.

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Quantum-Autumn-School

ENCCS is now again joining forces with the Wallenberg Centre of Quantum Technologies (WACQT) and the Nordic/Baltic NordIQuEst project to deliver a three-day autumn school covering the fundamentals of quantum computing.

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Deep-Learning-Week

This 5 day online course was co-organised by LRZ and NVIDIA Deep Learning Institute (DLI), combined lectures about Fundamentals of Deep Learning for Single and for Multi-GPUs, Building Transformer-Based Natural Language Processing Applications and Deep Learning on LRZ systems.

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