Diego Volpatto's repositories
coffee-quality-database
Building the Coffee Quality Institute Database
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
fortran2018-examples
Easy examples of scientific computing with modern, powerful, easy Fortran 2018 standard
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
adtk
A Python toolkit for unsupervised anomaly detection in time series
autostep
Automatic step size estimation for numerical derivatives
awesome-neural-ode
A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks
AwesomeThermodynamics
A curated list of awesome resources on Thermodynamics
CppADCodeGen
Source Code Generation for Automatic Differentiation using Operator Overloading
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
deepxde
Deep learning library for solving differential equations
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
libcmaes
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
ogs
OpenGeoSys THMC
Optimus
:truck: Agile Data Science Workflows made easy with Pyspark
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
proteus
A computational methods and simulation toolkit
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.
reproducibility-news
Currated reproducibility news displayed on reproducibility.org
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
snorkel
A system for quickly generating training data with weak supervision
SuiteSparse
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University
tese_lncc
Criação de um novo modelo de dissertações e teses do LNCC