Topic: statistics Goto Github
Some thing interesting about statistics
Some thing interesting about statistics
statistics,Machine learning, computer vision, statistics and general scientific computing for .NET
Organization: accord-net
Home Page: http://accord-framework.net
statistics,High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
User: aksnzhy
Home Page: https://xlearn-doc.readthedocs.io/en/latest/index.html
statistics,Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Organization: alibaba
statistics,▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
User: arzzen
Home Page: https://git-quick-stats.sh/
statistics,Statistics-driven benchmarking library for Rust
User: bheisler
statistics,A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Organization: blei-lab
Home Page: http://edwardlib.org
statistics,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 ;)
User: camdavidsonpilon
Home Page: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
statistics,Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Organization: evidence-dev
Home Page: https://evidence.dev
statistics,Visualize and compare datasets, target values and associations, with one line of code.
User: fbdesignpro
statistics,Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Organization: gonum
Home Page: https://www.gonum.org/
statistics,Open Source Feature Flagging and A/B Testing Platform
Organization: growthbook
Home Page: https://www.growthbook.io
statistics,Statistical Machine Intelligence & Learning Engine
User: haifengl
Home Page: https://haifengl.github.io
statistics,A collection of scientific methods, processes, algorithms, and systems to build stories & models.
User: hemansnation
Home Page: https://www.himanshuramchandani.co/
statistics,🍀 Local git statistics including GitHub-like contributions calendars.
User: ionicabizau
statistics,A repo for data science related questions and answers
User: jayinai
statistics,Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
User: johnkerl
Home Page: https://miller.readthedocs.io
statistics,Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
User: jonkrohn
statistics,Better GitHub statistics images for your profile, with stats from private repos too
User: jstrieb
statistics,Java dataframe and visualization library
Organization: jtablesaw
Home Page: https://jtablesaw.github.io/tablesaw/
statistics,A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
User: khanhnamle1994
Home Page: https://medium.com/cracking-the-data-science-interview
statistics,Probably the best curated list of data science software in Python.
User: krzjoa
Home Page: https://krzjoa.github.io/awesome-python-data-science
statistics,🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
User: mahmoud
Home Page: https://boltons.readthedocs.org
statistics,Math.NET Numerics
Organization: mathnet
Home Page: http://numerics.mathdotnet.com
statistics,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Organization: mne-tools
Home Page: https://mne.tools
statistics,Data Science Roadmap from A to Z
User: moataz-elmesmary
statistics,A well tested and comprehensive Golang statistics library package with no dependencies.
User: montanaflynn
statistics,Lightning ⚡️ fast forecasting with statistical and econometric models.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/statsforecast
statistics,Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Organization: plausible
Home Page: https://plausible.io
statistics,Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Organization: qax-os
Home Page: https://xuri.me/excelize
statistics,Curated list of Python resources for data science.
User: r0f1
statistics,The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Organization: root-project
Home Page: https://root.cern
statistics, A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Organization: scikit-learn-contrib
Home Page: https://imbalanced-learn.org
statistics,scikit-learn: machine learning in Python
Organization: scikit-learn
Home Page: https://scikit-learn.org
statistics,simple statistics for node & browser javascript
Organization: simple-statistics
Home Page: https://simple-statistics.github.io/
statistics,A Laravel package to retrieve pageviews and other data from Google Analytics
Organization: spatie
Home Page: https://freek.dev/2477-laravel-analytics-v5-with-support-for-ga4-has-been-released
statistics,Statsmodels: statistical modeling and econometrics in Python
Organization: statsmodels
Home Page: http://www.statsmodels.org/devel/
statistics,✨ Standard library for JavaScript and Node.js. ✨
Organization: stdlib-js
Home Page: https://stdlib.io
statistics,A Python based monitoring and tracking tool for Plex Media Server.
Organization: tautulli
Home Page: https://tautulli.com
statistics,Probabilistic reasoning and statistical analysis in TensorFlow
Organization: tensorflow
Home Page: https://www.tensorflow.org/probability/
statistics,**的Quant相关资源索引
Organization: thuquant
statistics,Carefully curated resource links for data science in one place
User: tirthajyoti
statistics,Practice and tutorial-style notebooks covering wide variety of machine learning techniques
User: tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
statistics,Statistical and Algorithmic Investing Strategies for Everyone
User: tradytics
Home Page: https://www.tradytics.com/
statistics,Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Organization: umami-software
Home Page: https://umami.is
statistics,Your new Mentor for Data Science E-Learning.
Organization: virgili0
Home Page: https://virgili0.github.io/Virgilio/
statistics,Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
User: visualize-ml
statistics,Count your code, quickly.
User: xampprocky
statistics,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Organization: ydataai
Home Page: https://docs.profiling.ydata.ai
statistics,Self hosted Spotify tracking dashboard
User: yooooomi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.