适用于高性能系统的多进程解压缩软件(A multiprocess decompression software for high-performance system)

🚀 Custom modes for Roo Code VS Code extension - Enhanced AI coding assistance configurations

Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.

A Django app that tracks your queries to help optimize them. See Qorme for automated ORM optimization: https://qorme.com?ref=dj-tracker

This is not a usual PV/UV log analyse tool, but another perspective of web log. It provide fine grained(the minimum is every minute) trouble shooting and performance optimization in a specified time period, based on it's flexible and various summaries.

The repo contains quickstart templates and best practices using Power BI on Databricks SQL, focusing on performance, scalabilty, and operational and cost efficiency

Benchmarks of Spring Boot REST service comparing Java 21 Virtual Threads (Project Loom) with WebFlux (Project Reactor).

An extendible framework for executing benchmarks and computational experiments at scale

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

A batched implementation for efficient Qwen2.5-VL inference.

Deep Learning at Scale Training Event at NERSC

High performance async Mssql library for Python.

Autonomous self-learning Agent Plugin for Claude Code 🤖 Automatic learning, real-time dashboard, 40+ linters, OWASP security, CodeRabbit PR reviews. Production-ready with 100% local processing, privacy-first. Free open source AI automation tool

MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

Scientific CUDA benchmarking framework: 4 implementations x 3 power modes x 5 matrix sizes on Jetson Orin Nano. 1,282 GFLOPS peak, 90% performance @ 88% power (25W mode), 99.5% accuracy validation, edge AI deployment guide.

⚠️ DEPRECATED - Use https://github.com/neverinfamous/postgresql-mcp instead

Optimizing Einstein Sum Implementation in PyTorch with Specialization, Path Searching, and GPU-Native Contraction

The "Windows Startup Applications Manager" is a handy utility that allows users to manage the applications that launch automatically when their Windows computer starts up.

This project consisits of several implementations of COCO format dataset validation between ground truths and predictions. It is designed to highlight the superpower of python libraries for big computations and its integration with other languages like C++.