Name: Neemias Bucéli da Silva
Type: User
Company: Amaris Consulting
Bio: Deep Learning Enthusiast | Data Scientist 👨💻
Location: Curitiba - PR, Brazil
Neemias Bucéli da Silva's Projects
Advanced topics in computer science i.e. disjoint set, Kruskal's algorithm, binary indexed tree, and so forth.
Applying Multi-task Cascade Convolutional Neural Network (MTCNN) for face detection problem.
In this repository have two algorithm for unsupervised learning denominated: Kmeans and DBscan.
Building Auto Encoder Compression and User Mnist Dataset
The most cited deep learning papers
Using Python and OpenCv to Manipulating Video Basics and Live Camera.
An awesome README template to jumpstart your projects!
Implementation of binary mask by hand using Jupiter notebook and python script
A blockchain, ethereum, smart contracts, and EVM tutorial using solidity contract oriented.
Welcome to some case study of data science projects - (Personal Projects).
A Simple Three Dimensional Convolutional Neural Networks approach
A complete computer science study plan to become a software engineer.
This repository have one implementation of the assignment lexical analysis for the COMPILERS course.
This repository was created for the Compilers Course from Federal University of Mato Grosso do Sul.
Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I included some case study, papers, and code. Please check the readme.
Developing a cusstom nano GPT-2 from scratch using PyTorch on the Fineweb dataset.
MVISIA coding interview using Django
Keras CNN model for Plant Leaf Counting integrated into Django Framework and Deploy to Heroku
Using Deep Learning and Computer Vision: SSD, OpenCv, etc.
Create my first project with Django applied to expense controll
GMAC is an extension project at UFMS, Brasil. For more detail checkout the readme.md
Automating Mass Downloading netCDF File for use to GISS ( Goddard Institute for Space Studies) Software
A Harris Corner Detection approach for Segment the Number of Corner in Street Map
A Bayesian Neural Network with a horseshoe prior for improved interpretability
Techniques of Deep Learning and Machine Learning applied to datasets of image (e.g. mnist, Brasilian Coins, etc).
The goal of this project is to help data scientists how to transform text into word embeddings for use it in machine learning algorithms.