Awesome GitHub RepositoriesSpatial Downsampling

This project is a comprehensive Chinese translation of a technical deep learning textbook, providing an educational resource on the theory and implementation of neural networks. It functions as a collaborative technical translation project designed to make complex academic AI literature accessible to non-English speakers. The project utilizes a community-driven translation model that integrates external suggestions and pull requests to refine linguistic accuracy and reduce bias. It employs standardized terminology mapping to ensure a uniform vocabulary throughout the translated content. To i

This library provides a comprehensive collection of modular building blocks and research-backed architectures for implementing vision transformers within the PyTorch framework. It serves as a centralized repository for constructing, training, and analyzing attention-based models, offering a wide array of specialized variants designed for image classification and visual representation learning. The project distinguishes itself through a focus on architectural efficiency and flexibility, supporting diverse input formats including non-square images and volumetric data like video. It incorporates

Thanos is a CNCF cloud native monitoring tool that provides a highly available and scalable extension to the Prometheus ecosystem. It functions as a global query engine, a long-term storage system, and a metric downsampler. The project enables a unified interface to aggregate and query metrics across multiple distributed clusters from a single view. It maintains historical data beyond local retention limits by persisting time-series metrics in object storage and eliminates data gaps by merging metrics from redundant server pairs. The system includes capabilities for reducing the resolution o

This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional

mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and restoration. It provides the infrastructure to build and train models for tasks such as text-to-image and text-to-video generation, 3D-aware content synthesis, and high-fidelity image translation using diffusion models and generative adversarial networks. The project distinguishes itself through specialized capabilities for generative model personalization, including techniques for fine-tuning subjects and styles. It also supports advanced visual manipulations such as latent space interp

This is a comprehensive educational curriculum designed to teach machine learning fundamentals using the Python programming language. It provides a structured course covering the implementation and theory of supervised learning, unsupervised learning, and deep learning. The curriculum is delivered through interactive notebooks that combine executable code with technical tutorials. It includes dedicated guides for building neural network architectures, implementing classification and regression models, and utilizing clustering techniques for pattern discovery in unlabeled data. The materials

Code release for ConvNeXt model

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

OpenTSDB هي قاعدة بيانات موزعة للسلاسل الزمنية ومحرك مقاييس مصمم لتخزين وإدارة أحجام هائلة من مقاييس النظام عالية التباين. تعمل كمخزن بيانات ومنصة تحليلات تتيح استيعاب المقاييس على نطاق واسع ومراقبة أداء البنية التحتية عبر مجموعة موزعة. يتميز النظام بتجريد تخزين موزع يدعم خلفيات متعددة مثل HBase و Cassandra و Google Bigtable. يستخدم شجرة مقاييس هرمية لتنظيم السلاسل الزمنية ويستخدم فهرسة المعرفات الرقمية لتقليل بصمات التخزين وتسريع عمليات البحث للمقاييس الموسومة. يغطي المشروع مجالات قدرات واسعة بما في ذلك تحليل بيانات السلاسل الزمنية مع حسابات النسبة المئوية الموزعة وأخذ العينات الفرعية، بالإضافة إلى إدارة شاملة للبيانات الوصفية. يوفر دمج واجهة برمجة التطبيقات لاستيعاب البيانات والاستعلام، وتخزين مؤقت خارج الكومة (Off-heap) لتحسين الأداء، وأدوات لتدقيق سلامة البيانات وتحليل الشذوذ. يتم إدارة النظام عبر واجهة سطر أوامر لإدارة قاعدة البيانات ومزامنة شجرة المقاييس.