vanilsongomes Goto Github PK

aula-estatistica

credit-score

curso-pytoch

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

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning

Examples using public data in Keras and PyTorch

deep-learning-specialization

Master Deep Learning, and Break into AI

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:

ipython-notebooks

A collection of IPython notebooks covering various topics.

keras-wine-model

Model built with the Keras Functional API

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

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

pratical

prmlt

Matlab code for machine learning algorithms in book PRML

project_1

harmonic oscillator

project_gap

bandgap prediction

project_linear_regression

projeto-timeseriesprediction

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

qml

QML: Quantum Machine Learning

readme.md

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.

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book