SamuelHericles
I am a computer engineering and data scientist, have experience in Java, Python, C, Matlab, Javascript. I like Lo-Fi music, Physics, Mathematics, and Data.
@IBMBrasil
SamuelHericles's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
opencv/opencv
Open Source Computer Vision Library
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
kivy/kivy
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
optuna/optuna
A hyperparameter optimization framework
numba/numba
NumPy aware dynamic Python compiler using LLVM
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
PizzaDeDados/datascience-pizza
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
aesara-devs/aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
google/pygtrie
Python library implementing a trie data structure.
microsoft/PowerBI-Icons
Icons (PNG and SVG) for Power BI
lmjohns3/downhill
Stochastic gradient routines for Theano
bdimmick/python-trie
Simple Python Trie Implementation
bluesheeptoken/CPT
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction (cython implementation)
ryukinix/lisp-challenge
A personal collection of Common Lisp scripts to solve the problems from www.pythonchallenge.com
matheus-frota/flutter_calculator
Pedynho/pedynho.github.io
My personal site
rayonnunes/casa_belem
projeto voluntário de construção da página do instituto casa belém
SamuelHericles/coursera_intro_dl_hse
Introduction to Deep Learning por National Research University Higher School of Economics
SamuelHericles/get_started_streamlit
My first web page using streamlt framework
SamuelHericles/mlflow_course
Curso sobre mlflow para gerenciamento de modelos de machine learning e deep learning.
SamuelHericles/spark_documentacao
Um repositĂłrio contendo estudos sobre o framework PySarpk
sousaellen/DataApp-Acidentes-de-Transito
Neste projeto algoritmos de aprendizagem de máquina sĂŁo utilizados para prever os nĂveis de gravidade dos acidentes de trânsito usando diferentes modelos. O conjunto de dados usado contĂ©m registros de acidentes de trânsito da PolĂcia Rodoviária Federal que ocorreram no Brasil entre os anos de 2007 e 2020, abrangendo todos os estados do paĂs.
matheus-frota/fast-api-study
SamuelHericles/data_mining_for_business_in_python
A course there are many topics for data mining.
SamuelHericles/formacao_cientista_de_dados_topicos_avancados
Curso com vários tópicos interessantes para rever.
SamuelHericles/nuveo-teste-ia
Nuveo Challenge for processing image
SamuelHericles/python_advanced
Some concepts and methodologies advanced of python language.
stefaneadna/Tiro_Alvo_Processamento_Imagens