gugarosa/modelos_latex

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Created almost 9 years ago
Updated over 1 year ago

gugarosa/modelos_latex

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📝 Modelos simples e compreensíveis em LaTeX, adaptados para a Faculdade de Ciências da UNESP.

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

learnergy

💡 Learnergy is a Python library for energy-based machine learning models.

viviner

🍷 Scraps data from Vivino and collects outstanding wine-based meta-data.

opfython

🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

nalp

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

leaflyer

🍀 Scraps data from Leafly and collects amazing weed-based meta-data.

evolutionary_ensembles

📄 Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".

libras_decoder

✋ A hand tracking system that integrates a classification architecture which decodes gestual alphabet into text.

opytimark

📈 Opytimark is a Python library consisting of optimization benchmarking functions.

go_api_boilerplate

⚙️ A Go-based API boilerplate for speeding up future projects.

jucesp_rpa

🤖 An RPA-based tool for extracting information over JUCESP.

statys

📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.

mh_deep_application

🐝 Nature-Inspired Optimization Applied to Deep Learning for ICMC/USP mini-course.

iris_recognition

👁️ An easy-to-use iris recognition system based on Daugman's approach.

textformer

🔮 Transformer-based architectures for handling text generation and translation.

text_augmenter

✒️ RNNs and Transformers text-based augmentation for ICMC/USP mini-course.

dualing

🐾 Dualing is a Python library that implements dual-based neural learning.

multi_activation

📄 Official PyTorch and Tensorflow implementations regarding the Multi Activation layer.

LibOPT4Caffe

☕ Integration library, built to assimilate LibOPT and Caffe together.

Protocol Buffer

py4research

📦 A step-by-step tutorial on how to build a Python package for research.

synthetic_rbms

📄 Official implementation regarding the paper "Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines".

politico_honesto

💸 An RPA-based assistant that extracts information about a candidate over TSE.

textfier

📝 Textfier provides an easier interface to text-based modifiers.

annotator

✏️ A Doccano-based project designed to fulfill ML-based needs.

apostila_ml

📋 Apostila para o curso de Aprendizado de Máquina do programa de Pós-Graduação em Ciência da Computação da UNESP.

dbn_tuning

📄 Official implementation regarding the chapter "Fine-Tuning Deep Belief Networks with Harmony-Based Optimization".

python_api_boilerplate

⚙️ A Python-based API boilerplate for speeding up future projects.

loss_programming

📄 Official implementation regarding the paper "Programmatically Evolving Losses in Machine Learning".

crypto_meleon

🐊 Changes CryptoMeleon's colors with just a few lines of code.

amazonas

💧 An OpenSea fully-customizable integration that allows the creation of smart contracts.

crbm_tuning

📄 Official implementation regarding the paper "Adapting Convolutional Restricted Boltzmann Machines Through Evolutionary Optimization".

ghost_reader

👻 An image-to-text and text-to-voice application focused on accessibility.

tsgan_nlg

📄 Official implementation regarding the paper "Natural Language Generation With Similarity-Based Adversarial Learning".

mh_feature_selection

📄 Official implementation regarding the paper "A Survey on Metaheuristic Approaches to Feature Selection".

mh_fine_tuning

📄 Official implementation regarding the paper "Improving Pre-Trained Weights Through Meta-Heuristic Fine-Tuning".