Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 67

19415 projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" with 1 filter applied:

  • The full-stack observability platform that protects your dataLayer, tags and conversion data Icon
    The full-stack observability platform that protects your dataLayer, tags and conversion data

    Stop losing revenue to bad data today. and protect your marketing data with Code-Cube.io.

    Code-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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  • Securden Privileged Account Manager Icon
    Securden Privileged Account Manager

    Unified Privileged Access Management

    Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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  • 1
    LangExtract

    LangExtract

    A Python library for extracting structured information

    LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. ...
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  • 2
    JEPA

    JEPA

    PyTorch code and models for V-JEPA self-supervised learning from video

    ...This makes learning focus on semantics and structure, yielding features that transfer well with simple linear probes and minimal fine-tuning. The repository provides training recipes, data pipelines, and evaluation utilities for image JEPA variants and often includes ablations that illuminate which masking and architectural choices matter. Because the objective is non-autoregressive and operates in embedding space, JEPA tends to be compute-efficient and stable at scale. The approach has become a strong alternative to contrastive or pixel-reconstruction methods for representation learning.
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  • 3
    DLRM

    DLRM

    An implementation of a deep learning recommendation model (DLRM)

    ...The implementation is optimized for performance at scale, supporting multi-GPU and multi-node execution, quantization, embedding partitioning, and pipelined I/O to feed huge embeddings efficiently. It includes data loaders for standard benchmarks (like Criteo), training scripts, evaluation tools, and capabilities like mixed precision, gradient compression, and memory fusion to maximize throughput.
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  • 4
    Seamless Communication

    Seamless Communication

    Foundational Models for State-of-the-Art Speech and Text Translation

    ...The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. The research prototype includes components for visual grounding (understanding when a user references something in view), gesture recognition and synthesis, and turn-taking mechanisms that mirror human conversational timing. ...
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  • Iris Powered By Generali - Iris puts your customer in control of their identity. Icon
    Iris Powered By Generali - Iris puts your customer in control of their identity.

    Increase customer and employee retention by offering Onwatch identity protection today.

    Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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  • 5
    Animated Drawings

    Animated Drawings

    Code to accompany "A Method for Animating Children's Drawings"

    ...Users can provide rough keyframes or control constraints (pose anchors), and the system fills intermediate frames with fluid animation. The repository includes demonstration apps and notebooks where you can upload or draw shapes and watch animations play. Because the approach is data-driven, it generalizes to new drawings even with varying proportions or stylizations.
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  • 6
    DeepEP

    DeepEP

    DeepEP: an efficient expert-parallel communication library

    ...Its core role is to implement high-throughput, low-latency all-to-all GPU communication kernels, which handle the dispatching of tokens to different experts (or shards) and then combining expert outputs back into the main data flow. Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. ...
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  • 7
    Hanami

    Hanami

    A flexible framework for maintainable Ruby apps

    Hanami is a modern Ruby web framework that aims to be lightweight, fast, and modular, in contrast to the monolithic design of Rails. It emphasizes separation of concerns, encouraging developers to structure applications into clear layers of controllers, views, entities, and repositories. Each component—like the router, model layer, or view rendering engine—can be used independently, which gives developers flexibility to build lean applications. Hanami promotes immutability, plain old Ruby...
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  • 8
    Phoenix LiveView

    Phoenix LiveView

    Rich, real-time user experiences with server-rendered HTML

    ...You no longer have to split work between client and server, across different toolings, layers, and abstractions. Instead, LiveView enriches the server with a declarative and powerful model while keeping your code closer to your data (and ultimately your source of truth).
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  • 9
    Cheshire

    Cheshire

    Clojure JSON and JSON SMILE (binary json format) encoding/decoding

    Cheshire is a high-performance JSON encoding and decoding library for Clojure, built atop Jackson to combine fast parsing/generation with advanced support for types like Dates, UUIDs, Sets, Symbols, and the binary JSON SMILE format. Custom encoding is supported from 2.0.0 and up if you encounter a bug, please open a GitHub issue. From 5.0.0 onwards, custom encoding has been moved to be part of the core namespace (not requiring a namespace change). Custom and Core encoding have been combined...
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  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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  • 10
    Ruma

    Ruma

    A set of Rust crates for interacting with the Matrix chat network

    ...It includes all the features you'd expect from a modern chat platform including instant messaging, group chats, audio and video calls, searchable message history, synchronization across all your devices, and end-to-end encryption. Matrix is federated, so no single company controls the system or your data. You can use an existing server you trust or run your own, and the servers synchronize messages seamlessly. Learn more in the Introduction to Matrix. Rust is a systems programming language from Mozilla built with safety, concurrency, and performance in mind. Its novel approach to memory safety and its rich type system make it an excellent choice for writing fast, secure, and reliable programs.
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  • 11
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    ...With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python API. All versions are fully binary compatible.
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  • 12

    Simple Backup

    This UNIX program backups files and directories, to a directory.

    Simple Backup can be used to backup and compress, files and directories, to a destination directory. Usage: simplebackup SOURCE1 SOURCE2... SOURCEn DESTINATION_DIRECTORY It creates a new directory with a date stamp in its name. Simple Backup works with Linux, macOS, and FreeBSD. ------------------------------------------------------------------------------------------------------ To restore data from a Simple Backup archive, one can use tar -xf Note: Simple Backup needs zstd (Zstandard) to be installed, usually with the package manager of your distribution.
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  • 13
    Viking GPS data editor and analyzer

    Viking GPS data editor and analyzer

    Viking is a free/open source program to manage GPS data

    Viking is a free/open source program to manage GPS data. You can import, plot and create tracks, routes and waypoints, show OSM, Bing Aerial and other maps, geotag images, create routes using OSRM, see real-time GPS position (not in Windows), make maps using Mapnik (not in Windows), control items, etc. It is written in mostly in C (with some C++) & the GTK+3 toolkit. Viking is currently dual managed - with a corresponding Github presence at: https://github.com/viking-gps/viking Where you may find it easier to view the code and raise issues there too.
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    Downloads: 372 This Week
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  • 14
    Design Patterns in Swift

    Design Patterns in Swift

    Design Patterns implemented in Swift

    Design-Patterns-In-Swift is a repository that translates classic software engineering design patterns (from sources like the Gang of Four) into Swift code examples, so you can see how those patterns look in a modern, strongly typed, object-/protocol-oriented language. It covers creational, structural, and behavioral patterns: singletons, factories, decorators, observers, strategy, command, mediator, and more. For each pattern, you’ll typically see one or more Swift implementations,...
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  • 15
    kg-gen

    kg-gen

    Knowledge Graph Generation from Any Text

    kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing...
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  • 16
    Map-Anything

    Map-Anything

    MapAnything: Universal Feed-Forward Metric 3D Reconstruction

    Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses,...
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  • 17
    DeepSeek Prover V2

    DeepSeek Prover V2

    Advancing Formal Mathematical Reasoning via Reinforcement Learning

    ...The repository describes how they use recursive proof decomposition by prompting DeepSeek-V3 to break complex theorems into subgoals, synthesize proof sketches, and then combine them to bootstrap training data. They then fine-tune via reinforcement learning with binary correct/incorrect feedback to integrate informal reasoning with formal proof behavior. The repo releases two model sizes (7B and 671B) and provides evaluation performance (e.g. pass rates on MiniF2F, results on ProverBench) as well as prompt / usage examples for proof generation in Lean 4. ...
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  • 18
    FlashMLA

    FlashMLA

    FlashMLA: Efficient Multi-head Latent Attention Kernels

    ...It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility.
    Downloads: 0 This Week
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  • 19
    librg

    librg

    Making multi-player gamedev simpler since 2017

    Making multi-player game dev simpler since 2017. Single-header cross-platform world replication in pure C99. librg is a lightweight library that serves as a middleware between data-transferring libraries (networking, file-streaming, etc.) and core application/game logic. The library was born to solve the complexities of setting up and managing the flow of multi-player games and dedicated game servers. It came a long way in stripping out things that were non-essential, slowly sculpting into its current form, which you are able to see and use today. ...
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  • 20
    GraphQL Juniper

    GraphQL Juniper

    GraphQL server library for Rust

    GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward.
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  • 21
    MooseFS

    MooseFS

    Fault tolerant, POSIX-compliant, Net Distributed Storage / File System

    MooseFS (MFS) is a fault tolerant, highly performing, scaling-out, network distributed file system. It spreads data over several physical servers which are visible to the user as one resource. For standard file operations MooseFS mounted with FUSE acts as other Unix-alike file systems: * A hierarchical structure (directory tree) * Stores POSIX file attributes (permissions, last access and modification times) Supports special files (block and character devices, pipes and sockets) * Symbolic links (file names pointing to target files, not necessarily on MooseFS) and hard links (different names of files which refer to the same data on MooseFS) * Access to the file system can be limited based on IP address and/or password MooseFS on GitHub: https://github.com/moosefs/moosefs Packages repository, download: https://moosefs.com/download Documentation: https://moosefs.com/support Recent changes: https://github.com/moosefs/moosefs/blob/master/NEWS
    Downloads: 1 This Week
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  • 22

    E57 3D Imaging Format

    3D pointcloud data storage and interchange format

    Reference Implementation of the ASTM 3D Imaging Format. A file format for interchange of 3D (laser) imaging data. (This work is not officially endorsed by ASTM.)
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    Downloads: 233 This Week
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  • 23
    autocrawler

    autocrawler

    Multiprocess Selenium crawler for downloading images by keywords

    AutoCrawler is a Python-based image crawling tool designed to automatically download large numbers of images from search engines using automated browser interaction. It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. Users provide search terms through a...
    Downloads: 1 This Week
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  • 24
    FileHashler

    FileHashler

    cross-platform (Java) file encryption and archiving tool

    Java based API (library) and console utility for cross-platform file and directory encryption and archiving. Encrypts single files up to 9.2 EB length. Directories can be encrypted as sets of single files in a single action. Uses Twofish (CBC) and SHA-256. Security level is strong and benefits from the PWS3 (Password Safe) encrypted file format. The level can be lowered to 128-bit key-length (normally 256).
    Downloads: 0 This Week
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  • 25
    UNO

    UNO

    A Universal Customization Method for Single and Multi Conditioning

    UNO is a project by ByteDance introduced in 2025, titled “A Universal Customization Method for Both Single and Multi-Subject Conditioning.” It suggests a framework for image (or more general generative) modeling where the model can be conditioned either on a single subject or multiple subjects — which may correspond to generating or customizing images featuring specific people, styles, or objects, possibly with fine-grained control over subject identity or composition. Because the project is...
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