Trending repositories for topic statistics
Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Statistics of your activities on GitHub in 2024. 统计2024年你在GitHub上的活动.
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Statsmodels: statistical modeling and econometrics in Python
Probably the best curated list of data science software in Python.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Phishing Domains, urls websites and threats database. We use the PyFunceble testing tool to validate the status of all known Phishing domains and provide stats to reveal how many unique domains used f...
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Statistics of your activities on GitHub in 2024. 统计2024年你在GitHub上的活动.
GPU-Optimized SplineTransformer significantly accelerates the conversion of large data arrays into B-spline bases by leveraging GPU power. This innovation outperforms traditional CPU-based solutions, ...
Fast and customizable framework for automatic and quick Causal Inference in Python
This HA integration allows to import long term statistics from a file like csv or tsv
Ingesting, pipelining, and enhancing your DNS logs with usage indicators, security analysis, and additional metadata.
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Compendium of free ML reading resources
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Phishing Domains, urls websites and threats database. We use the PyFunceble testing tool to validate the status of all known Phishing domains and provide stats to reveal how many unique domains used f...
Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of ...
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Statistics of your activities on GitHub in 2024. 统计2024年你在GitHub上的活动.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Statsmodels: statistical modeling and econometrics in Python
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Phishing Domains, urls websites and threats database. We use the PyFunceble testing tool to validate the status of all known Phishing domains and provide stats to reveal how many unique domains used f...
Probably the best curated list of data science software in Python.
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
Machine Learning Mischief: Examples from the dark side of data science
GPU-Optimized SplineTransformer significantly accelerates the conversion of large data arrays into B-spline bases by leveraging GPU power. This innovation outperforms traditional CPU-based solutions, ...
This HA integration allows to import long term statistics from a file like csv or tsv
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.
Fast and customizable framework for automatic and quick Causal Inference in Python
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Machine Learning Mischief: Examples from the dark side of data science
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
Statsmodels: statistical modeling and econometrics in Python
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
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 ;)
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc...
Streamystats is a statistics service for Jellyfin, providing analytics and data visualization.
GPU-Optimized SplineTransformer significantly accelerates the conversion of large data arrays into B-spline bases by leveraging GPU power. This innovation outperforms traditional CPU-based solutions, ...
stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.
A machine learning/statistical model to derive prediction probabilities for football matches of the top european leagues.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Busuanzi Compatible Website Counter Powered by Vercel + Redis
This HA integration allows to import long term statistics from a file like csv or tsv
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
💎 An Open Source, privacy-focused and progressive analytics service.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Website based application that summarizes Plex statistics from a given period and displays it in a nice format. Similar to the Spotify Wrapped concept.
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant.
🌞 A lightweight JavaScript library that generates customizable heat maps, charts, and statistics to visualize date-based activity and trends.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Transformer for Portfolio Optimization. Applicable to Mid/Low Frequency Trading
A collection of awesome mathematics and computer science courses
Resources for education in statistics and machine learning: from advanced undergraduate to research level
💎 An Open Source, privacy-focused and progressive analytics service.
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
This HA integration allows to import long term statistics from a file like csv or tsv
Machine Learning Mischief: Examples from the dark side of data science
Problem solving focused statistical and machine learning software toolkit. Think of it as any spreadsheet software, but empowered with plug'n'play tools for statistics and machine learning. More tools...
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Statsmodels: statistical modeling and econometrics in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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 ;)
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant.
Lightning ⚡️ fast forecasting with statistical and econometric models.
🌞 A lightweight JavaScript library that generates customizable heat maps, charts, and statistics to visualize date-based activity and trends.
Visualise your CSV files in seconds without sending your data anywhere
Tianji: Insight into everything, Website Analytics + Uptime Monitor + Server Status. not only another GA alternatives
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Busuanzi Compatible Website Counter Powered by Vercel + Redis
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
A machine learning/statistical model to derive prediction probabilities for football matches of the top european leagues.
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning P...
An elegant RTSS Overlay to showcase your benchmark stats in style.
新一代实时计算底座，计算性能超越flink/spark 100倍，XL-LightHouse是一套支持超大数据量、支持超高并发的通用型流式大数据统计系统【同时支持单机版】。常见的应用场景包括：PV、UV统计；电商销售额、下单用户数统计；日志量统计；接口调用量、异常量、耗时情况统计；服务器运维监控等功能，系统支持多维度统计，支持各种复杂的条件筛选和逻辑判断，一键部署，一行代码接入，轻松实现业务全链路...
Fast and customizable framework for automatic and quick Causal Inference in Python
This repository contains math tutorials I created for Bioinformatics and Computational Biology.
