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aero-matlab

My matlab homework files

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalydetection

Anomaly Detection with R

approximateriemannsolvers

My personal collection of Riemann solvers using MUSCL and WENO schemes written as short Matlab scripts

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bnt

Bayes Net Toolbox for Matlab

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

clawpack

Package for solving hyperbolic systems of partial differential equations

code_snippets

deep-learning-notes

Experiments with Deep Learning

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dynet

DyNet: The Dynamic Neural Network Toolkit

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fann

Official github repository for Fast Artificial Neural Network Library (FANN)

flux.jl

Relax! Flux is the ML library that doesn't make you tensor

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

frugally-deep

Header-only library for using Keras models in C++.

gfortran-for-macos

GNU Fortran (and GCC) compilers for macOS

gpflow

Gaussian processes in TensorFlow

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hybridcentralsolvers

United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions

iforest

iForest anomaly detection codes (Matlab Version)

iris-python

Collection of iris classifcation program for teaching purpose