Showing 66 open source projects for "implicit"

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  • 1
    Jester

    Jester

    A sinatra-like web framework for Nim

    ...In this case you might want to make the leading '/' optional too, you can do this by changing the pattern to "/hello/?@name?". This is useful because Jester will not match "/hello" if the leading '/' is not made optional. Route bodies all have an implicit request object. This object is documented in jester.nim and documentation can be generated by executing nim doc jester.nim. It is possible not to use the routes macro and to do the routing yourself. You can do this by writing your own match procedure. Take a look at example2 for an example on how to do this.
    Downloads: 0 This Week
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  • 2
    JSHint

    JSHint

    A tool that helps to detect errors and in your JavaScript code

    ...JSHint scans a program written in JavaScript and reports about commonly made mistakes and potential bugs. The potential problem could be a syntax error, a bug due to an implicit type conversion, a leaking variable, or something else entirely.
    Downloads: 0 This Week
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  • 3
    Deep Daze

    Deep Daze

    Simple command line tool for text to image generation

    Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text.
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  • 4
    YOLOR

    YOLOR

    implementation of paper - You Only Learn One Representation

    ...Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems.
    Downloads: 1 This Week
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  • 5
    Lexical Analyzer Generator Quex

    Lexical Analyzer Generator Quex

    Generator of lexical analyzers in C and C++. Unicode Supported.

    The goal of this project is to provide a generator for lexical analyzers of maximum computational efficiency and maximum range of applications. This includes the support for Unicode (UTF8, UTF16, ...) and a large variety of other encodings directly and via nested converters such as ICU(tm) and IConv. Sophisticated buffer handling allows to operate on plain file streams, on sockets, or manually fed buffer content. 'Ready-to-build' examples explain related concepts and facilitate practical...
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    Downloads: 21 This Week
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  • 6
    Implicit Graph Search Library
    Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
    Downloads: 0 This Week
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  • 7
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    ...It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. Because it’s built around Spark’s scalable primitives, Albedo can experiment on substantial snapshots of GitHub metadata rather than toy corpora. ...
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  • 8
    Kopf

    Kopf

    A Python framework to write Kubernetes operators

    Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).
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  • 9
    EEIP.NET

    EEIP.NET

    Ethernet/IP compatible library for .NET and LabView implementations

    ...V1.4: 16 Bit Path Encryption Explicit Messaging V1.3: Bugfix Discover Devices V1,1: - Bugfix Multicast Implicit Messaging V1.0: - Some Bugfixes Implicit Messaging - Bugfixes large data Explicit Messaging - Added TCP/IP Object (Class code: F5h)to Object Library
    Downloads: 26 This Week
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  • 10
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    ...It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). ...
    Downloads: 1 This Week
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  • 11

    opaque_typedef

    Customizable copies of types, not just type aliases

    An opaque typedef provides a customizable copy of an existing type, not simply a type alias. This makes safer interfaces possible by prohibiting implicit conversions and accidental interactions with other types, makes it possible to overload, and through customization you can precisely control the semantic interoperability of your type with other types.
    Downloads: 0 This Week
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  • 12
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It...
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  • 13
    abumpack

    abumpack

    Fortran library with the Abaqus user material subroutines UMAT/VUMAT

    This library contains several of user material subroutines for implicit quasi-static (UMAT) and explicit dynamic (VUMAT) versions of the Abaqus solver. The project web site: http://abumpack.sf.net. The Abaqus is a proprietary finite element (FE) code ( http://www.3ds.com/products-services/simulia/products/abaqus/). Users can write subroutines for use with the Abaqus. Linear elastic, isotropic hardening plasticity, Gurson-Tvergaard-Needleman (GTN), Rousselier constitutive models are provided. ...
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  • 14
    FGSL2ZF
    Component library to extend Zend Framework. MVC with implicit CRUD. Tutorial in PDF available in download page. Project leader: FGSL. Homepage: www.fgsl.eti.br
    Downloads: 0 This Week
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  • 15

    JSONLIB

    JSON made simple for .NET

    ...Create JSON object from common data types (array, list and dictionary). Parser is based on regular expressions and can handle nested structures. Access data using implicit typecast. Tutorial with all examples included. For details visit Wiki section. New in v2.0.0: Added serialization and deserialization methods!!!
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  • 16
    Scaloid

    Scaloid

    Scaloid makes your Android code easy to understand and maintain

    Scaloid is a Scala library designed to make Android app development in Scala more concise, idiomatic, and less verbose compared to using the standard Android APIs. It provides wrappers, syntactic sugar, and implicit conversions so that interacting with Android UI elements, layouts, intents, and other Android primitives feels more natural to Scala developers. For example, it offers DSL-style helpers for defining views and layouts with less boilerplate, implicit conversions to help with event listeners, and utility methods to simplify common tasks. ...
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  • 17
    Mangrove TDS Library

    Mangrove TDS Library

    A C++ Tool for the Fast Prototyping of Topological Data Structures

    The Mangrove Topological Data Structure (Mangrove TDS) Library is a C++ template tool for the fast prototyping of topological data structures under the same API: - generic representation of any topological data structure, i.e., mangrove; - extensible through dynamic plugins at run-time; - agnostic wrt the representation in use; - any representation is supported without restrictions; - dimension-independent and multi-platform; - efficient representations of non-manifolds; - only one common API and no wrappers; - implicit representation of cells, not directly encoded, i.e., ghost references.
    Downloads: 0 This Week
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  • 18

    Implicit BPM

    An Implicit BPM approach

    Implicit BPM is a platform for integrating business processes into existing core applications as if they were a whole system. It uses a novel concept, namely Workflow Weaving, based on non-intrusive techniques, which achieves this kind of integration transparently.
    Downloads: 0 This Week
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  • 19
    The Panini Language

    The Panini Language

    Better Modularity, Better Concurrency

    This project makes the compiler and tools for the Panini language available. A central goal of the Panini language is to make concurrent programming easier and less error-prone. The main new feature in Panini is called a capsule. A capsule is like an actor but better because it largely retains the traditional approach for reasoning about programs as a sequence of operations, abstracts away all details of thread creation and locking, and supports fully-automatic compile-time analysis of...
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  • 20
    MOBIDICK
    MOBIDICK (MOdular But IntegrateD applICation frameworK) is dedicated to gather as less as possible Java frameworks in order to complete full needs of large business application and allow regeneration of code, even when java frameworks change.
    Downloads: 0 This Week
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  • 21

    Automalator

    State Dependency deconstructor and mapper for C source code.

    Flowcharts not telling you what you want to know about some C source code? Try a State Dependency map! Every C source file is an implemention of a state machine. Implicit in the definition of a state machine is a network of dependencies between the states. The Automalator * deconstructs the C code into the core state machine * collates the transactions into the dependency net * generates a diagram-format file with the states and dependencies as the nodes and edges. Pre-requisites * Perl - tested with versions 5.12.3, 5.14.2 and 5.20.2, Windows, Linux and MAC * Get the Automalator by downloading the zip, or checking out or exporting the SVN trunk * copy the source code of interest into "project.c" * windows - double-click "src2map.bat" * linux & MAC - navigate the command line to the "project" folder, then run "src2map.sh" * open "project.gml" file with diagramming software.
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  • 22
    Gura Programming Language
    Gura is a programming language that features "implicit mapping" and "member mapping", which can handle multiple data in lists and iterators at any one time.
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  • 23
    IRPF90
    WARNING: Project moved to http://github.com/scemama/irpf90 IRPF90 is a Fortran90 preprocessor written in Python for programming using the Implicit Reference to Parameters (IRP) method. It simplifies the development of large fortran codes in the field of scientific high performance computing.
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  • 24

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
    Downloads: 0 This Week
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  • 25
    Roolie
    An extremely simple Java Rule Engine (Non-JSR 94) that uses rules you create in Java. Simply create your basic rules, implement the single "passes" method for each, then chain them together in an XML file to create more complex rules.
    Downloads: 0 This Week
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