Search Results for "apache" - Page 90
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Showing 11183 open source projects for "apache"
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to... -
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Rust Latam
Learn to write Rust procedural macros
This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness... -
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handson-ml
Teaching you the fundamentals of Machine Learning in python
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep... -
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems,... -
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yamlfmt
An extensible command line tool or library to format yaml files
yamlfmt is an extensible formatter that makes YAML files consistent and easy to read across large repositories. It focuses on practical concerns unique to YAML—multi-document streams, anchors and aliases, comments, and block scalars—so a reformat doesn’t destroy semantics or helpful annotations. The tool ships as a single, distributable binary and can also be used as a library, making it simple to drop into CI and editor workflows. Configuration is file-based, allowing teams to pin... -
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Marl
A hybrid thread / fiber task scheduler written in C++ 11
marl is a lightweight C++ job system that schedules tasks on a pool of worker threads and runs them using cooperative fibers for high throughput. By decoupling “tasks” from OS threads, it minimizes context switches and lets workloads with fine-grained synchronization scale efficiently. The API is intentionally small—post tasks, wait on fences, and express dependencies—so you can retrofit it into existing engines without adopting a heavyweight framework. Under the hood, fibers allow tasks to... -
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Jimfs
An in-memory file system for Java 8+
Jimfs is an in-memory file system for Java that fully implements the java.nio.file API introduced in Java 7 and enhanced in Java 8 and beyond. Developed by Google, it allows developers to create and manipulate file systems entirely in memory, making it ideal for testing, simulation, and temporary file operations without touching the actual disk. Jimfs supports most standard file operations, including file and directory creation, deletion, copying, symbolic and hard links, as well as... -
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Docsy
Hugo theme for open source documentation
Docsy is a Hugo theme developed by Google for creating structured, user-friendly technical documentation websites. It provides an elegant and consistent layout optimized for documentation sets, with built-in features such as automatic navigation, customizable site structure, and responsive design. The theme simplifies the process of building and maintaining documentation sites by offering flexible configuration options, modern styling, and seamless integration with Hugo’s static site... -
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Behaviour Suite Reinforcement Learning
bsuite is a collection of carefully-designed experiments
bsuite is a research framework developed by Google DeepMind that provides a comprehensive collection of experiments for evaluating the core capabilities of reinforcement learning (RL) agents. Its main goal is to identify, measure, and analyze fundamental aspects of learning efficiency and generalization in RL algorithms. The library enables researchers to benchmark their agents on standardized tasks, facilitating reproducible and transparent comparisons across different approaches. Each... -
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Trillian
A transparent, highly scalable and cryptographically verifiable data
trillian is a transparent, cryptographically verifiable data store built on Merkle trees that provides append-only logs and verifiable key–value maps. It separates a storage layer from a verifiability layer, letting applications prove inclusion, consistency, and non-existence through compact cryptographic proofs. The system is designed for horizontal scale with gRPC APIs, enabling multiple frontends and sequencers to operate over a shared backend. Common use cases include certificate... -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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Seesaw v2
Seesaw v2 is a Linux Virtual Server based load balancing platform
Seesaw is a software load balancer and traffic director focused on L3/L4 load balancing with high availability and operational simplicity. Built with production reliability in mind, it uses anycast and health-checking to steer traffic to healthy backends while avoiding single points of failure. It supports common load-balancing policies, NAT, and VIP management, and pairs with standard Linux networking primitives for predictable performance. A controller/worker architecture separates... -
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Wireit
Wireit upgrades your npm/pnpm/yarn scripts to make them smarter
Wireit is a productivity tool for npm scripts that adds smart caching, concurrency control, and dependency awareness without replacing your package manager. It wraps ordinary npm run commands with a declarative configuration describing inputs, outputs, and script relationships, then skips work when nothing has changed. Wireit can watch files, detect invalidated outputs, and propagate rebuilds through a graph of scripts, improving feedback loops in monorepos and complex apps. It persists... -
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MCPHub
A unified hub for centralized management and dynamic organization
MCPHub is a unified hub that organizes many MCP servers behind clean Streamable HTTP (SSE) endpoints so clients can connect to “all tools,” a specific server, or logical groups. It’s designed to simplify multi-server operations: one process can multiplex several named STDIO servers and re-expose them over HTTP for IDEs and services. The README ships in multiple languages and includes deployment and routing guidance, signaling an intention to reach a broad user base. The project publishes to... -
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UltraRAG
Less Code, Lower Barrier, Faster Deployment
UltraRAG 2.0 is a low-code, MCP-enabled RAG framework that aims to lower the barrier to building complex retrieval pipelines for research and production. It provides end-to-end recipes—from encoding and indexing corpora to deploying retrievers and LLMs—so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from “quick start” to debugging and case analysis. It... -
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Swift System
Low-level system calls and types for Swift
Swift System provides idiomatic Swift interfaces to low-level system calls and types, aiming to be the canonical home for these building blocks on all supported Swift platforms. It wraps platform details behind portable APIs while still allowing you to drop down to exact OS semantics when needed. The design follows Swift’s value semantics and protocol orientation to keep code predictable and testable. It’s distributed via SwiftPM with tagged releases, making it straightforward to pin... -
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Swift Crypto
Open-source implementation of a substantial portion of the API
Swift Crypto is a cross-platform, open-source implementation that mirrors a substantial portion of CryptoKit so server and Linux/Windows ARM64 apps can share one modern crypto API. It exposes high-level, misuse-resistant primitives with Swift ergonomics while delegating to well-vetted backends under the hood. The repository maintains active releases and issue tracking for enhancements like PEM handling and ecosystem compatibility. High-level, misuse-resistant primitives and key handling.... -
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Swift OpenAPI Generator
Generate Swift client and server code from an OpenAPI document
Swift OpenAPI Generator is a Swift Package plugin that reads an OpenAPI document (YAML/JSON) and emits strongly typed client and server code. It removes boilerplate around request/response wiring so you focus on business logic while keeping strict type safety. The generated code uses a separate runtime package with pluggable transports and middlewares, enabling you to swap HTTP stacks or add cross-cutting concerns without touching the API layer. Swift-idiomatic naming and code structure in... -
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Swift Numerics
Advanced mathematical types and functions for Swift
Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics... -
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VMZ (Video Model Zoo)
VMZ: Model Zoo for Video Modeling
The codebase was designed to help researchers and practitioners quickly reproduce FAIR’s results and leverage robust pre-trained backbones for downstream tasks. It also integrates Gradient Blending, an audio-visual modeling method that fuses modalities effectively (available in the Caffe2 implementation). Although VMZ is now archived and no longer actively maintained, it remains a valuable reference for understanding early large-scale video model training, transfer learning, and multimodal... -
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SlowFast
Video understanding codebase from FAIR for reproducing video models
SlowFast is a video understanding framework that captures both spatial semantics and temporal dynamics efficiently by processing video frames at two different temporal resolutions. The slow pathway encodes semantic context by sampling frames sparsely, while the fast pathway captures motion and fine temporal cues by operating on densely sampled frames with fewer channels. Together, these two pathways complement each other, allowing the network to model both appearance and motion without... -
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ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM
ChatGLM2-6B is the second-gen Chinese-English conversational LLM from ZhipuAI/Tsinghua. It upgrades the base model with GLM’s hybrid pretraining objective, 1.4 TB bilingual data, and preference alignment—delivering big gains on MMLU, CEval, GSM8K, and BBH. The context window extends up to 32K (FlashAttention), and Multi-Query Attention improves speed and memory use. The repo includes Python APIs, CLI & web demos, OpenAI-style/FASTAPI servers, and quantized checkpoints for lightweight local... -
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CausalImpact
An R package for causal inference in time series
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the... -
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AReal
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible
AReaL is an open source, fully asynchronous reinforcement learning training system. AReal is designed for large reasoning and agentic models. It works with models that perform reasoning over multiple steps, agents interacting with environments. It is developed by the AReaL Team at Ant Group (inclusionAI) and builds upon the ReaLHF project. Release of training details, datasets, and models for reproducibility. It is intended to facilitate reproducible RL training on reasoning / agentic tasks,... -
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CodeWorld
Educational computer programming environment using Haskell
CodeWorld is an educational programming environment that uses a Haskell-inspired language to teach computational thinking through graphics and interactive animation. The web-based IDE provides immediate visual feedback: students write code that draws shapes, composes pictures, and responds to events to build simple games and simulations. Its API emphasizes mathematics and geometry rather than low-level UI details, making it approachable for classrooms and self-learners. Projects run in the...
