Search Results for "apache" - Page 22
Sort By:
Showing 869 open source projects for "apache"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
1
Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so... -
2
ADDC Server Commons Java Libraries
Java libraries for buiding IIOP and Web Services
ADDC Server Commons supplies a set of java libraries published to maven central for writing Java servers offering both IIOP/SSLIOP and HTTP/HTTPS access using Spring Framewrok and JacORB. It also supplies a client for Monitoring CORBA Services, Balanced Groups and a full JNDI implementation for both CosNaming and Java. -
3
AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each... -
4
Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Java utility classes that I've developed and want to carry from project to project without encumbrance. Others may find them useful. Releases are available from Maven Central: http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22net.sf.kdgcommons%22
-
6
PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
PerfKitBenchmarker is an open-source benchmarking framework designed to measure and compare the performance of cloud infrastructure across multiple providers in a consistent and reproducible way. It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile... -
7
The-Force
Built with MVVM pattern, Koin , Coroutines + Flows
An Android app consuming a Star Wars API to display Movie Characters it has been built with clean architecture principles, Repository Pattern and MVVM pattern as well as Architecture Components. -
8
Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
9
exchange-core java
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Pipelined multi-core processing (based on LMAX Disruptor): each CPU core is responsible for certain processing stage, user accounts... -
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
10
Bloaty
Bloaty: a size profiler for binaries
Bloaty is a deep, accurate size profiler for native binaries that tells you where every byte comes from so you can shrink executables and libraries intelligently. It parses binary formats like ELF, Mach-O, and DWARF symbol/debug data without relying solely on toolchain heuristics, letting you attribute size to files, sections, symbols, templates, and even compilation units. Reports can be produced at multiple granularities and diffed across builds to identify regressions introduced by... -
11
Fish Redux
An assembled flutter application framework
Fish Redux is a high-level, componentized application framework for Flutter based on the Redux paradigm. It emphasizes modular “assembly” of application features — you build small “components” with state, actions, views, and connectors, and then assemble them into larger screens or flows. It supports functional programming style, predictable state containers, pluggable component systems, and non-destructive performance (i.e. minimizing unnecessary rebuilds). Fish Redux was developed within... -
12
End-To-End
End-To-End is a crypto library to encrypt, decrypt, digital sign
End-to-End was a client-side encryption project that prototyped OpenPGP-compatible, end-to-end encrypted messaging in the browser. The idea was to move cryptographic operations entirely to the user’s machine—key generation, encryption, and signature—so messages remain unreadable to intermediaries. It packaged a JavaScript crypto library, UI elements, and a browser extension workflow that could integrate with webmail-style UIs without server changes. The codebase emphasized careful key... -
13
SwiftOCR
Fast and simple OCR library written in Swift
SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is... -
14
material-about-library
Makes it easy to create beautiful about screens for your apps
Makes it easy to create a beautiful about screen for your app. Generates an Activity or Fragment. If you use this library in your app, please let me know and I'll add it to the list. -
15
Stagemonitor
An open source solution to application performance monitoring for java
Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. -
16
Erlang Resource Pool
Resource Pool manages reusable resources among multiple processes.
Resource pool project is written in Erlang as a tiny library. The goal of the tool is reduce the overhead of creating new resources by reusing of the same resources among multiple processes. Achieving result is better performance and throughput. The resource pool was inspired by Java Apache's commons pool and adopts API and main principals from this project. Database connection is most popular example for pooling resource. -
17
Gradle Bintray Plugin
The Gradle Bintray Plugin allows you to publish artifacts to Bintray
The Gradle Bintray Plugin allows you to publish artifacts to Bintray. The plugin supports three methods to create groups of artifacts: Configurations, Publications and Copying specific files using filesSpec. One of the methods should be used to group artifacts to be uploaded to Bintray. Using the Configurations approach is the easiest, since this option attempts to infer what artifacts to upload based on the Gradle project and dependencies that are defined. Publications gives more... -
18
Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
-
19
Pinject
A pythonic dependency injection library
Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. The library leans on Python’s introspection to minimize boilerplate,... -
20
The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from... -
21
m2m-js
Vanilla js Libraries
m2m-js is a set of various Vanilla js libraries. Vanilla js. Vanilla Javascript/ Sortable Grid / Repeater / List library. Form Validation. Easy Field Binding. Supports Template based development. Supports Component Based development. Custom Components like Calendar. Observer-Observable sample. 'Update UI On State Change' in a few lines of code. Fully re-written in ES8. -
22
ThirtyInch
A MVP library for Android favoring a stateful Presenter
This library adds Presenters to Activities and Fragments. It favors the stateful Presenter pattern, where the Presenter survives configuration changes and the dumb View pattern, where the View only sends user events and receives information from the Presenter but never actively asks for data. This makes testing very easy because no logic lives in the View (Activity, Fragment) except for fancy animations which anyway aren't testable. -
23
Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
24
dc.js
Multi-Dimensional charting built to work natively with crossfilter
dc.js is a javascript charting library with native crossfilter support, allowing highly efficient exploration on large multi-dimensional datasets (inspired by crossfilter's demo). It leverages d3 to render charts in CSS-friendly SVG format. Charts rendered using dc.js are data driven and reactive and therefore provide instant feedback to user interaction. Dimensional charting built to work natively with crossfilter rendered using d3.js. In dc.js, each chart displays an aggregation of some... -
25
OkReplay
Record and replay OkHttp network interaction in your tests
OkReplay is a tool for recording and replaying HTTP interactions (specifically via OkHttp) in Android tests to improve determinism, test speed, and reliability. During the first run of a test annotated with @OkReplay, the library records outgoing HTTP requests and their responses into tape files. On subsequent runs, it intercepts those requests and serves the recorded responses instead of making real network calls. This allows tests to be executed offline, reduces flakiness due to network...
