Execute and document benchmarks reproducibly.
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Updated
Jul 29, 2026 - Python
Execute and document benchmarks reproducibly.
Dota 2 Performance Analytics and Match Trend Predictor. Analyze Match History, Track Performance Metrics, Visualize Statistics and Discover Winning Patterns.
Computer vision system that analyzes sports footage to provide real-time performance metrics, injury prevention insights, and tactical recommendations.
AI Trade Analyzer 2026 – Upload CSV trade history and get AI-powered analysis. Identify mistakes, learn from wins, and improve your trading strategy. Personal AI coach. Setup.exe included.
Jaeger Bindings for Python OpenTracing API
Analyze Dota 2 match data to track your gameplay history, identify performance trends, and visualize key statistics for competitive improvement.
A full-stack web application for cyclists that provides a centralized platform to manage, visualize, and analyze key performance metrics.
O.P.S. is a real‑time training tool designed to enhance deployment efficiency for individuals and small teams. Its primary goal is to allow users to train deployment times with any piece of gear where speed is paramount. Logged sessions allow you to track deployment speeds over time and view your current average speed via an integrated gra
A new package that processes text input to monitor and analyze the health and performance of a message bus system. It uses natural language queries to return structured insights about message throughp
A python-augmented excel sheet to track portfolio performance.
This repository is a collection of my daily Python practices, learning notes, and experimental scripts. It tracks my progress from fundamentals to more advanced topics.
📡 Real-time LLMOps monitoring and observability platform. Track prompts, latency, token usage, and model performance → detect anomalies, optimize cost & ensure reliability of production AI systems.
This project is a comprehensive Educational Management System designed to streamline administrative and academic processes in educational institutions. Originally built during an IIT internship, the system focuses on enhancing efficiency and communication among stakeholders. Key Features: User Authentication: Secure login and account management.
Meta Advertising Spend Tracker - A Python-based system for tracking Meta advertising performance by hour, comparing spend and ROAS against daily targets, and providing intra-hour target calculations using machine learning models.
Student & employee performance tracker — Django gradebook with weighted averages, ranks with movement, at-risk detection, low-grade alerts, improvement plans, and PDF/Excel report cards.
🚀 Analyze message bus health and performance effortlessly with Buslytics, a Python package that transforms user queries into structured insights for system reliability.
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