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kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lenet-5

PyTorch implementation of LeNet-5 with live visualization

lstm

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

lutorpy

Use torch in python for deep learning.

matplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

mifs

Parallelized Mutual Information based Feature Selection module.

ml-examples

Machine Learning examples.

mnist

monthofjulia

Some code examples gathered during my Month of Julia.

mutual-information

In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables

neural_decomposition

Neural Decomposition Code for Time Series

neuralnetworksforbeginners

nn

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

nninit

Weight initialisation schemes for Torch7 neural network modules

nufdt

Non Uniforme Discrete Fourier Transform

numpy-100

100 numpy exercises (100% complete)

openface

Face recognition with deep neural networks.

openlane-example

Documentation for the 5 day workshop: Advanced Physical Design using OpenLane/Sky130

opt.th

Torch library for optimization.

parallel-computing-bootcamp

From UC berkeley, UIUC, CMU, MIT, Argonne, etc.

pgpr

The implementation of parallel Gaussian process (GP) regression is based on the following publications: Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations (UAI 2013) and Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation (AAAI 2015).

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

py-ctypes-multidimensional-arrays

An example how to convert numpy arrays to ctypes 2D and 3D arrays, parse them to C, and them them back after running a C function.

py-optdmd

Python implementation of optimal DMD

pyami

Python package for IBIS-AMI model development and testing

pybayes

Python library for recursive Bayesian estimation (Bayesian filtering)

pybert

Serial communication link bit error rate tester simulator, written in Python.

pydata-2018