Search Results for "high" - Page 14
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Showing 458 open source projects for "high"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Sulla
Javascript Whatsapp API library for chatbots
Sulla is a javascript library that provides a high-level API control to Whatsapp so it can be configured to automatize responses or any data that goes through Whatsapp effortlessly. As of version 2.3.5 it seems that sulla has reached a very rich and stable functionality and architecture. As much as I would love to, I cannot dedicate a lot of time to this project so please consider checking out forked versions of sulla where other developers can dedicate more time and support to it. ... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
...Easy and beautiful graph visualization, with details about weights, gradients, activations, and more. Effortless device placement for using multiple CPU/GPU. The high-level API currently supports the most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, etc. -
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Essentials
General purpose utilities and hash functions for Android and Java
Essentials is a lightweight collection of high-performance utility classes designed to enhance standard Java and Android development without introducing heavy dependencies. The library focuses on providing efficient data structures and helper utilities that often outperform equivalent components in the standard Java API. It is intentionally minimalistic and is not positioned as a full framework, but rather as a focused toolkit that fills common gaps developers encounter in everyday projects. ... -
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SiliCompressor
Easy to use Video and Image compression library for Android
...Images add flair and beauty to our android apps, but we usually have problems with these images due to their large size. With SiliCompressor you can now compress and use your images more smoothly. Due to the high resolution of our Smartphone cameras and cameras from other devices, Video files have become large in size and thus difficult for them to be shared with others on social apps, and social media even when we need to upload them on our server. With SiliCompressor you can now compress your video file while maintaining its quality. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Saturn
The vip.com's distributed job scheduling platform
Saturn is a platform created by VIP.com to provide a distributed, fault-tolerant and high available job scheduling service. -
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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 iteration, it measures the ensemble loss for each candidate, and selects the best one to move onto the next iteration. ... -
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Wheefun Execution Library
A Portable Library for Code Execution
WFEX provides functionality for portably executing code using a variety of different execution types ("executors") from generic job objects, most notably the "tasklet" concept. It also includes synchronization primitives such as locks and barriers. This library can be included in your project to implement certain forms of high-performance computing into your projects and has bindings planned for C, C++, and Objective C. It abstracts away various concepts that are often relegated to system APIs that are frequently incompatible with each other. -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
...Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly discover reputable and well-maintained repositories. This way one can survey state-of-the-art projects, find learning resources, or pick stable libraries for production — without manually sifting through hundreds of repos. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Go canvas
Canvas is a Go drawing library based on OpenGL
Canvas is a high-performance 2D rendering library for C++ that mimics the HTML5 Canvas API. It is built using OpenGL for hardware acceleration and offers a simple, familiar interface for developers looking to draw shapes, images, and text in desktop applications or games. Canvas focuses on ease of use, speed, and flexibility, making it suitable for GUI overlays, visualizations, and real-time 2D rendering tasks. -
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React Charts
Simple, immersive & interactive charts for React
TanStack React-Charts is a headless React library focused on composable, customizable, and performant charting components, providing flexible chart primitives without imposing styling or rendering constraints. Simple, immersive and interactive charts for React. Extensible with custom rendering layers and styles. Supports various chart types (line, bar, pie, etc.) -
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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). -
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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... -
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threadandjuc
High performance three-high-import import system
...It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. It is especially useful for Java developers preparing for interviews or improving their understanding of production-level concurrency patterns. Some material also explores large-scale import and high-throughput reporting scenarios, connecting theory to real performance problems. Its main value is giving learners a structured way to study Java concurrency beyond isolated code snippets. -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
Choose your favored cloud platform with ArangoGraph, a full-managed, scalable, and high-performance graph database service that delivers the added value of an integrated document store, full-text search engine, and geospatial capabilities. This unified solution offers seamless, hassle-free management of these diverse data models and types, relieving you of operational overhead and allowing you to focus on innovation and development. -
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SMProxy
Swoole MySQL Proxy
SMProxy is a lightweight, high-performance MySQL proxy developed in PHP using the Swoole extension. It is designed to address the lack of native connection pooling in PHP, which can lead to database connection bottlenecks under high concurrency. By implementing its own connection pool and supporting read/write separation, SMProxy enhances database operation efficiency and stability. -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. ... -
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MatCaps
Huge library of matcap PNG textures organized by color
Matcaps is a comprehensive library of matcap (material capture) PNG textures organized by color, providing artists and developers with a wide range of materials for 3D modeling and rendering. Matcaps simplifies the process of applying consistent and realistic materials to 3D models, enhancing visual quality without the need for complex shader setups. -
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12306 Ticket Buying Assistant
12306 Smart ticket swiping, ticket booking
12306 is an automation and ticket-purchasing tool designed to interact with China’s official railway booking system, providing users with a programmatic way to search, reserve, and purchase train tickets. The project replicates the workflow of the official platform while adding automation features that help users secure tickets in high-demand scenarios. It supports querying schedules, checking seat availability, and performing booking actions through scripts, which reduces the need for manual interaction. The system is particularly useful during peak travel periods when tickets sell out quickly, as it can continuously monitor availability and attempt purchases automatically. ... -
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VivaGraph
Graph drawing library for JavaScript
VivaGraphJS is a powerful, high-performance graph drawing library for JavaScript that enables developers to visualize complex networks directly in the browser or in Node.js environments. It is designed for speed and scalability, handling large graph datasets with smooth rendering and interactive capabilities such as dragging nodes and zooming. The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and visual fidelity for their use case. ... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. ... -
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nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
nlp_chinese_corpus is a large-scale Chinese corpus collection for natural language processing research and development. It was created to make high-volume Chinese text data easier to access for students, researchers, and practitioners. The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes descriptions, download links, structure notes, and examples to help users understand how the data is formatted. ... -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. -
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Highland
High-level streams library for Node.js and the browser
Highland is a JavaScript library designed to simplify working with streams and asynchronous data flows by providing a functional programming interface on top of Node.js streams. It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling... -
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Tensor Algebra Compiler
The Tensor Algebra Compiler (taco) computes sparse tensor expressions
...Under the hood, TACO employs a novel compiler-based technique to generate kernels that are optimized for the computations you want to perform. This lets TACO achieve performance that exceeds the MATLAB Tensor Toolbox by up to several orders of magnitude and that is competitive with other high-performance sparse linear/tensor algebra libraries like Eigen, Intel oneMKL, and SPLATT.
