Raissa Miranda

Raissa Miranda

@raissamiranda

I'm a Computer Science student at UFMG.

Cadence Design Systems Belo Horizonte - MG
33
Followers
39
Following
27
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 27 owned repositories

65.2M Total LOC
Verilog
56,302,848 lines
86.3%
N/A
Jupyter Notebook
8,513,460 lines
13.1%
N/A
JavaScript
160,200 lines
0.2%
N/A
C
104,746 lines
0.2%
N/A
Python
77,197 lines
0.1%
N/A
Other
75,999 lines
0.1%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Verilog

Verilog
Jupyter Notebook
JavaScript
C
Python

Collaboration Network

Global Impact visualization

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Raissa Miranda
0 active collaborators

Repos

33

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

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Followers 33
gvamorim

Guilherme Amorim

@gvamorim

 caiotcunha

Caio Teles

@caiotcunha

 mordente

Pedro Mordente

@mordente

 luizademelo

Luiza de Melo

@luizademelo

 itsKayWat

itsKayWat

@itsKayWat
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Following
39 total
luizademelo

Luiza de Melo

@luizademelo

 Hideyoshizane

Hideki Yoshizane

@Hideyoshizane

 joaomorenorf

João Moreno

@joaomorenorf

 Gcaian-cabral

Gcaian_Cabral

@Gcaian-cabral

 gaialucas

Lucas Gaia de Castro

@gaialucas
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Synced via GitHub

Top Repositories

Supervised-Machine-Learning-Classifier

Trabalho prático para disciplina de Algoritmos II com a funcionalidade de criar um modelo de classificação em aprendizado supervisionado utilizando algoritmos geométricos. O desempenho do classificador é avaliado com base em experimentos com bases de dados reais.

3 0
Jupyter Notebook
Multi-client-blog-with-TCP-protocol-and-threaded-sockets
1 0
C
GrammarOcurrences
0 0
Verilog
tp2-cloud
0 0
Python
Naive-Bayes-Spam-Filter

This project aims to address the problem of spam detection using the Naive Bayes algorithm. Naive Bayes is a probabilistic classifier based on Bayes' Theorem, which assumes the independence of features.

0 0
Jupyter Notebook
Neural-Network-with-Backpropagation-using-MNIST

In this project a 3-layer neural network will be used for the task of handwritten digit recognition. We will explore different gradient descent methods to optimize the neural network during training includin Stochastic Gradient Descent (SGD) and Mini-Batch Gradient Descent.

0 0
Jupyter Notebook
Anderson-style-points-to-alias-analysis

Alias analysis is a "may" static analysis that approximates the set of memory locations that each pointer can point to. Thus, the goal of this analysis is to build a table, henceforth called an environment that associates each pointer p with the memory locations that p can point to.

0 0
Python
Practicing-GitHub-Actions

This repository contains a simple Python program that simulates a basic banking system for practicing GitHubActions purpose.

0 0
Python
Distributed-Key-Value-Storage-with-RPC

Developing a key-value storage service using gRPC

0 0
Python
tarefas

trabalho da disciplina de engenharia de software

0 0
JavaScript

Open Source Impact

Contributions to external projects

1 merged PRs

No external contributions found.