qin8948050

distroless

🥑 Language focused docker images, minus the operating system.

coder-kung-fu

开发内功修炼

holmesgpt

On-Call Assistant for Prometheus Alerts - Get a head start on fixing alerts with AI investigation

HelloGitHub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

AGiXT

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

supersonic

SuperSonic is the next-generation AI+BI platform that unifies Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms.

CS-Books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

CS

EffectiveModernCppChinese

《Effective Modern C++》- 完成翻译

havenask

KuiperInfer

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

llama.cpp

LLM inference in C/C++

notes

🔥 技术笔记 ( 高性能/分布式/kubernetes/golang/kv引擎等 )

awesome-system-design-resources

Learn System Design concepts and prepare for interviews using free resources.

linux-insides-zh

Linux 内核揭秘

System-Design

It's just fascinating. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consistency, availability & reliability. 👨‍💻 Interview Prep. 👨‍💻

GitHubDaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

programming

scripts for personal reference

DeepOD

Deep learning-based outlier/anomaly detection

OutlierDenStream

Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.

OutlierDenStream-BigDama18

Scripts used to reproduce our work on "Telemetry-based stream-learning of BGP anomalies"

ods-anomalydetection

Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

perses

The CNCF sandbox for observability visualisation. Already supports Prometheus/Tempo - more data sources to come!

conc

Better structured concurrency for go

concurrency-in-go-src

Full sourcecode for the book, "Concurrency in Go" published by O'Reilly.

go-concurrency-patterns

Concurrency patterns in Go

QA_clustering

Analyzing chat interactions w/ LLMs to improve 🦜🔗 Langchain docs

haystack

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.