David Enrique Nieves Acarón
DavidEnriqueNieves
Computer Engineering major at Florida Institute of Technology working as a research assistant on an AFRL project involving Machine Learning at the Edge.
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A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
This is a project for my Neural Networks graduate course involving the prediction of a YouTube video's views using a feed forward neural network. This approach was part of the requirements for the project, as I am well aware that there are many more factors that could be efficiently analyzed by other type of neural network architectures. Read the report for more details.
This is a project for my Neural Networks graduate course involving the classification of YouTube video thumbnails.
Repositories
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PyTorch implementation of normalizing flow models
Normalizing flows in PyTorch. Current intended use is education not production.
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
Attempt at replicating the results of Bethune Et Al but specifically focusing on the Gaussian dataset, using the PyTorch Lightning notebook
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
[ICML'21] Improved Contrastive Divergence Training of Energy Based Models
🍓 Build and train energy-based and diffusion models in PyTorch ⚡.
Minimalist EBM Library in PyTorch
Code for Implicit Generation and Generalization with Energy Based Models
Test Copy of the Latent Diffusion Repo
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An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
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A fork of the original PANN paper repository focused on enabling parallel execution of the HDF5 packing utility scripts.
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Tool for downloading AudioSet based off MorenoLaQuatra's repository I forked. Credit goes to him for the original idea.
Fork aimed at assisting with the splitting of the download.
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A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
This is a project for my Neural Networks graduate course involving the prediction of a YouTube video's views using a feed forward neural network. This approach was part of the requirements for the project, as I am well aware that there are many more factors that could be efficiently analyzed by other type of neural network architectures. Read the report for more details.
A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation
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This is a project for my Neural Networks graduate course involving the classification of YouTube video thumbnails.
No description provided.
This is a project for my Neural Networks graduate course involving the prediction of cryptocurrency prices.
This was a Fall 2020 project for my Multifarious Systems course. The goal of the project was to create a chat room that updates in real-time and is capable of saving messages to a database to be displayed whenever the chat was opened in the future.