Vanilson Gomes Pereira's repositories
cvxpylayers
Differentiable convex optimization layers
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
machine-learning-regression
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
project_gap
bandgap prediction
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
Deep-Learning
Examples using public data in Keras and PyTorch
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
famat-oficina
Oficina
github-slideshow
A robot powered training repository :robot:
keras-wine-model
Model built with the Keras Functional API
neural-network-pruning-and-sparsification
TensorFlow implementation of weight and unit pruning and sparsification
Pattern-Recognition-and-Machine-Learning-Python-examples
PRML algorithms implemented in Python
PRMLT
Matlab code for machine learning algorithms in book PRML
project_1
harmonic oscillator
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
qml
QML: Quantum Machine Learning
RNN-for-Time-Series
Recurrent neural network (RNN) methods for time series forecasting
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.