- Ceará, Brazil
- https://www.linkedin.com/in/andreza-fernandes/
Starred repositories
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Repository dedicated to the classic Snake Game. 🐍🍎✨ The purpose is to train the knowledge of the JavaScript language. 😜 👌
Paper reading notes on Deep Learning and Machine Learning
Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Portuguese pre-trained BERT models
Clean Code concepts adapted for JavaScript
Repository dedicated to the Computer Graphics course of the Computer Science program, at the Federal University of Ceará.
Feature engineering package with sklearn like functionality
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Repository for few-shot learning machine learning projects
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Repositório seed para criação de webapp com React e Redux
Repositorio geral do grupo no telegram TI no Canada
YSDA course in Natural Language Processing
A complete development environment setup for working with Airflow
Probabilistic Torch is library for deep generative models that extends PyTorch
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
Repositório sobre bibliotecas para visualização de dados em sistemas web
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
FSL-Mate: A collection of resources for few-shot learning (FSL).
An enterprise-class UI design language and React UI library
Build and train state-of-the-art natural language processing models using BERT
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A Python package for building Bayesian models with TensorFlow or PyTorch