486 Open source projects that are alternatives of or similar to mdct

course on data science for economists

Notebook series on interesting topics in computer vision

Quad/octree building for FMMs in Python and OpenCL

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Complex Continuous Wavelet Transform

An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)

An un-trained neural network with a potential application in accelerated MRI

OpenEmbedded layer for scipy (ARCHIVED)

Python bindings for JIGSAW: a Delaunay-based unstructured mesh generator.

My collection of implementations of adaptive filters.

Audio Fingerprinting and Recognition in Python using NVidia's CUDA

A demonstration of the PageRank algorithm, using Eigenvectors to assign significance to HTML pages

Audio fingerprinting and recognition

Econometrics and data manipulation functions.

OOMMFTools is a set of utilities designed to assist OOMMF postprocessing

High Performance Computing (HPC) and Signal Processing Framework

Share stationary bike data with Strava, Garmin Connect and Golden Cheetah

An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.

Different methods and techniques for features extraction from audio

⤴️ Steep Workflow Management System – Run scientific workflows in the Cloud

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac

Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit and phase cross-correlations.

Nim bindings to libtorch

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Variational mode decomposition (VMD) in Python

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

Skin export / import tools for Autodesk Maya

Create and edit DDC headset correction files

A library and extension that provides objects for scientific computing in PHP.

High Performance Computing Strategies for Boundary Value Problems

ELLIPTIc: The Extensible LIbrary for Physical simulaTIons

A convenient way of processing digital signals in F#

Repository containing ready-made laboratory works in the specialty of computing machines, systems and networks

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

Multi-platform stacker for deep-sky astrophotography.

detect objects using svm and opencv

Automatic Wrapper and Interface Generator

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

Archives and Tasks for ML+ sessions

Fast and high quality sample-rate conversion library for Python

Pytorch implementation of subband decomposition

Miscellaneous methods for: astronomy, dealing with arrays, statistical distributions, computing goodness-of-fit, numerical simulations and much more

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

C++, CUDA, and MATLAB codes for the paper "An Exact and Fast Computation of Discrete Fourier Transform for Polar and Spherical Grid"

Material for a 24 hours course on Scientific Python

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.

Simulated Dual Annealing for python and benchmarks

Adds a customizable menu item to Jupyter (IPython) notebooks to insert boilerplate snippets of code

A list of data mining and machine learning papers that I implemented in 2019.

Standalone monitor for process resource consumption

Examples and demos showing how to call functions from the NAG Library for Python

Set of *nix utilities for experimentation and learning about spectral analysis of images

Fast, Expressive, & High-Performance Programming Language for those who dare

Axle Domain Specific Language for Scientific Cloud Computing and Visualization

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

a web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.