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Learnpython ⭐ 6,835

以撸代码的形式学习Python

Essentialmath ⭐ 754

Scikit Multiflow ⭐ 700

A machine learning package for streaming data in Python. The other ancestor of River.

Numerical Mooc ⭐ 603

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

M5 Methods ⭐ 472

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Datascience ⭐ 445

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Tensorly Notebooks ⭐ 340

Tensor methods in Python with TensorLy

Geostatspy ⭐ 252

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

Feature Selection For Machine Learning ⭐ 248

Code repository for the online course Feature Selection for Machine Learning

Tutorial on "Modern Optimization Methods in Python"

Rl_learn ⭐ 196

我的强化学习笔记和学习材料📖 still updating ... ...

Feature Engineering Handbook ⭐ 127

A practical feature engineering handbook

Book Ml Sem ⭐ 122

《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering

Visual Attribution ⭐ 117

Pytorch Implementation of recent visual attribution methods for model interpretability

Numerical Methods Pdes ⭐ 106

Jupyter notebook class notes for Numerical Methods for PDEs

Cvnd_localization_exercises ⭐ 105

Notebooks for learning about object motion and localization methods in the last section of CVND.

Bayesian Methods For Ml ⭐ 99

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

Classic Ml Methods Algo ⭐ 98

Review, theoretical analysis and implementation of classic Machine Learning methods

Scatac Benchmarking ⭐ 92

Benchmarking computational single cell ATAC-seq methods

Data Science 101 ⭐ 82

Methods, tools, tips, and tricks for anyone interested in getting started doing data science for the social good.

Feature Selection For Machine Learning ⭐ 81

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

Powershellhumanizer ⭐ 74

PowerShell Humanizer wraps Humanizer: meets all your .NET needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities

Minimally Sufficient Pandas ⭐ 74

There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.

Computational Cryoem ⭐ 73

A curated list of awesome computational cryo-EM methods.

Localgraphclustering ⭐ 70

Attention_flow ⭐ 68

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

Optimization Fivt ⭐ 59

Lectures on optimization methods

Justcause ⭐ 58

💊 Comparing causality methods in a fair and just way.

Repository for theory and methods for Out-of-Distribution (OoD) generalization

My main Machine Learning class

St Methods ⭐ 50

Methods and code used for stories by NZZ Visuals.

Clusteval ⭐ 46

Clusteval provides methods for unsupervised cluster validation

Cnn Interpretability ⭐ 43

Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Itktubetk ⭐ 39

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

Python In Neuroscience Tutorials ⭐ 38

Collection of tutorials about methods of computational neuroscience using Python

SCEC Broadband Platform

Ecobidas ⭐ 35

Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist

Time Series ⭐ 34

The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regression problems, as well as compare performance to more traditional statistical methods.

Krylovmethods.jl ⭐ 32

Simple and fast Julia implementation of Krylov subspace methods for linear systems.

Optimizationcourse ⭐ 32

Mcmc_and_dynamics ⭐ 30

Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)

Sparsegrouplasso ⭐ 30

Methods for Non-Smooth Convex Optimization (NSO), written in Python

Dataquest Guided Projects Solutions ⭐ 27

My dataquest project solutions

Sampling Methods Numpy ⭐ 26

This repository contains implementations of some basic sampling methods in numpy.

Pseudospectralpython ⭐ 25

A short course in pseudospectral collocation methods for wave equations, with implementations in Python.

Comparison_groups ⭐ 25

Repository for discussion of Comparison Group topics

Consumptionsavingnotebooks ⭐ 25

Jupyter Notebook examples of the ConSav package

Survival_analysis ⭐ 24

Survival Analysis with non-parametric, semi-parametric, and parametric models

Ensemble Bagging Boosting ⭐ 24

Opt_methods ⭐ 22

Benchmarking optimization methods on convex problems.

Seminars Fivt ⭐ 21

Seminars on optimization methods for DIHT MIPT

Deeplyuncertain Public ⭐ 20

Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)

Spectrum Sensing Methods ⭐ 20

Experiments with spectrum sensing methods

A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

Projects ⭐ 20

Data Science Portfolio

Reconstruction algorithms for Python

Vibration Fatigue by Spectral Methods

Computationalmethods ⭐ 17

Course of Computational Methods for Astronomy. Universidad de Antioquia

Optimaltransport ⭐ 15

Optimal transport transforms

Step Detect ⭐ 14

Python algorithms for autonomous step detection in 1D data

Rubytutorial ⭐ 14

Math Methods Chemical Engineering ⭐ 13

Course notes for the CMU course 06-262 Math Methods of Chemical Engineering (ODE's, linear algebra, PDEs, stats) in the form of jupyter notebooks

Singular Spectrum Analysis methods implementation in Python

English to Twi translation system being put together by the GhanaNLP team

A lightweight didactic library of kernel methods using the back-end JAX.

git tracking for python notebooks

Intonation ⭐ 13

A python library to analyze tuning and intonation related stuff in melodies across various music traditions in the world.

Imperial Multigrid ⭐ 12

Multigrid Methods - An Overview, A lecture series at Imperial College

Intromontecarlo ⭐ 11

Introduction to classical Monte Carlo methods

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Benchmark Fdr ⭐ 11

Benchmarking study of recent covariate-adjusted FDR methods

Computationalmethods ⭐ 11

Computational Methods Course at UdeA. Forked and size reduced from:

Pathology_learning ⭐ 10

Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.

Computationalstatistics ⭐ 10

Hydrolink ⭐ 10

This repository contains Python code that explores methods that link sampling and feature information to the NHDPlusV2 and NHDHR datasets and provides a level of certainty.

Understanding Momentum ⭐ 10

Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"

Pytorchvision ⭐ 10

The pytvision package consists of my datasets, models, and image transformations methods for computer vision projects. This package also containing the synthetic render methods.

Friedland Csd Solutions ⭐ 10

Solutions to Friedland's Control System Design: An Introduction to State Space Methods

Numerical Methods 1 ⭐ 10

First numerical methods course for geoscience undergraduates

Ece590hineman ⭐ 9

Repository for course materials for ECE 590 Scalable Reinforcement Learning

Annotationmodeling ⭐ 9

Aggregation for complex labels, described in https://www.ischool.utexas.edu/~ml/papers/braylan_

UCSanDiegoX: DSE220x : Machine Learning Fundamentals Course

Solarhome Control Bench ⭐ 8

open testbench for control and optimization methods for the energy management of a simple solar home

Julia Deeplearning ⭐ 8

Julia implementations of deep learning methods.

Quantitative Methods F2018 ⭐ 8

Fall 2018 Quantitative Methods Workshop

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Package wrapper with additions to PyMVPA http://www.pymvpa.org/ https://github.com/PyMVPA/PyMVPA

Geospatial Data Analysis with Python Workshop, GradQuant 2018S

A friendly pandas wrapper with a more composable grammar support.

Pseudopotential Studio

Mathematical Notebooks For The Physical Sciences ⭐ 7

Notebooks to accompany our book "A guided Tour of Mathematical Methods for the Physical Sciences"

Cimethods ⭐ 6

Teaching materials for the seminar on Application of Computational Intelligence Methods

Lecturemultiscalemethods ⭐ 6

Accompanying materials for lecture "Multiscale Methods in Computational Mechanics"

Coursera Aml3 Bayesian Methods ⭐ 6

Coursera, Advanced Machine Learning specialization, course 3: Bayesian Methods for Machine Learning

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