Popular GitHub Repositories for Stats

Claude Code dashboard with usage stats, error analysis, and sharable feature

Slides, paper notes, class notes, blog posts, and research on ML ?, statistics ?, and AI ?.

VULNRΞPO - Free vulnerability report generator and repository, end-to-end encrypted! Templates of issues, CWE,CVE,MITRE ATT&CK,PCI DSS, import Nmap/Nessus/Burp/OpenVAS/Bugcrowd/Trivy, Jira export, TXT/JSON/MARKDOWN/HTML/DOCX, attachments, automatic changelog, stats, vulnerability management, bugbounty, local ai/llm, super fast pentest reporting!

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

更深入地了解你最喜爱的开源代码库。探索每日 Star 数的趋势，突破 4 万 Star 的限制。

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

The Swiss army knife of code time tracking.

Auto ML for the tidyverse

Using AI to predict the outcomes of NBA games.

LLM-optimized repo copy: visual tree w/ stats (loc/%) + smart filtering (+.gitignore) + LLM markdown output (hints) + clipboard copy + token saving exclusions + easy installers + custom flags (incl/excl/size/types) + prioritizes root .md + logical folder traversal (keeps context grouped) w/ file size sort + file/stdout opts + set as alias easily

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

Pyinfer is a model agnostic tool for ML developers and researchers to benchmark the inference statistics for machine learning models or functions.

GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.

Machine learning project that can predict the scores of MLB games.

The project explores the idea of using different machine learning techniques to determine different stats in NHL games.

Generate/view WNBA stats, analytics, player comparison, chatbot, and AI insights

Allows AI Agents to interact with the Twilio SendGrid v3 API, managing contact lists, templates, single sends, and stats

Model development, deployment, and evaluation for forecasting Portal ecosystem dynamics

Incrementally partition data into `k` clusters.

Combine your dynamically generated GitHub stats and favourite trophies for a prettier display on your profile page.