121 Open source projects that are alternatives of or similar to tests-as-linear

Analysis of linear systems using admittance models

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

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

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

Combining Psi4 and Numpy for education and development.

Nested Sampling post-processing and plotting

Implemented an A/B Testing solution with the help of machine learning

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

The Python Toolbox for Robotics

Econometrics and data manipulation functions.

Material for a 24 hours course on Scientific Python

fit piecewise linear data for a specified number of line segments

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

Computational Neuroscience Crash Course (CNCC 2019)

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

Python module to analyse skeleton (thin object) images

Statistical inference on machine learning or general non-parametric models

Statistical Models with Regularization in Pure Julia

Audio fingerprinting and recognition

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

OpenEmbedded layer for scipy (ARCHIVED)

Python toolkit for modeling and inversion in geophysics. DEPRECATED in favor of our newer libraries (see www.fatiando.org)

Skin export / import tools for Autodesk Maya

Symbolic Fitting; fitting as it should be.

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Archives and Tasks for ML+ sessions

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Audio Fingerprinting and Recognition in Python using NVidia's CUDA

Simulated Dual Annealing for python and benchmarks

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

liblinear bindings for Go

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

No description or website provided.

A fast MDCT implementation using SciPy and FFTs

Educational Python implementation of the Canny Edge Detector

Algorithmic trading using machine learning.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

2D 3D Time independent FDM Schrodinger equation solver for arbitrary shape of well

Tutorial Sessions for SciPy Con 2019

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

🍊 📊 💡 Orange: Interactive data analysis

Material for the tutorial, "Time series analysis with pandas" at T-Academy

A collection of analytics methods implemented with Python on Google Colab

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

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

Learned Sort: a model-enhanced sorting algorithm

A Python module for time-frequency analysis

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

pure-Python HistFactory implementation with tensors and autodiff

Chaotic attractors (Lorenz, Rossler, Rikitake etc.)

a numpy-like fast vector module for micropython, circuitpython, and their derivatives

Fourier and Images

Tutorial Sessions for SciPy Con 2019

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

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

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Time Series Decomposition techniques and random forest algorithm on sales data

Progression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru

📊 Methods of Applied Statistics Course Textbook Repository

detect objects using svm and opencv