6909 Open source projects that are alternatives of or similar to Python For Probability Statistics And Machine Learning

📕 국내 개발 도서 리스트

编程电子书pdf，计算机常用电子书整理（高质量/附下载链接）包括 Java, Python, Linux, Go, C, C++, 数据结构与算法, AI人工智能, 计算机基础, 面试, 设计模式, 数据库, 前端等编程书籍。

My slides and notes

📚 awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Probabilistic Programming and Statistical Inference in PyTorch

📙 The probability and statistics cookbook

Multi-class confusion matrix library in Python

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Open-source framework to detect outliers in Elasticsearch events

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Probabilistic reasoning and statistical analysis in TensorFlow

IT, Programming & Computer science books

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

Computations and statistics on manifolds with geometric structures.

A Julia machine learning framework

A book about machine learning, statistics, and data mining for heliophysics

USC urban data science course series with Python and Jupyter

Create HTML profiling reports from pandas DataFrame objects

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.

Create publication-quality books from Jupyter notebooks

Generalized linear mixed-effect model in Python

Design-of-experiment (DOE) generator for science, engineering, and statistics

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

The fastai book, published as Jupyter Notebooks

气象相关书籍合集（持续更新）

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Aulas da Escola de Inteligência Artificial de São Paulo

Fast & numerically stable statistical analysis

Kernel Density Estimation in Python

List of Data Science and Machine Learning Resource that I frequently use

Data science teaching materials

A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

This is a list of books in our library or which we recommend you read.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc

The repository provides usefull python scripts for ML and data analysis

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

My Answer to 120 Data Science Interview Questions

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A simple probabilistic programming language.

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

Covidify - corona virus report and dataset generator for python 📈

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020