Search Results for "implicit" - Page 3
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Showing 121 open source projects for "implicit"
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opbdp
opbdp (non-linear) pseudo-Boolean optimization
opbdp is an implementation in C++ of an implicit enumeration algorithm for solving (non)linear 0-1 (or pseudo-Boolean) optimization problems with integer coefficients. A research report describing the techniques used in opbdp is included. -
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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. -
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CAM
Class Activation Mapping
This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. -
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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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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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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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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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APBS
Biomolecular electrostatics software
This software has moved to http://www.poissonboltzmann.org/. -
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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.). ... -
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DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF is a deep learning framework for continuous 3D shape representation using Signed Distance Functions (SDFs), as presented in the CVPR 2019 paper DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation by Park et al. The framework learns a continuous implicit function that maps 3D coordinates to their corresponding signed distances from object surfaces, allowing compact, high-fidelity shape modeling. Unlike traditional discrete voxel grids or meshes, DeepSDF encodes shapes as continuous neural representations that can be smoothly interpolated and used for reconstruction, generation, and analysis. ... -
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Spotlight
Deep recommender models using PyTorch
Spotlight uses PyTorch to build both deep and shallow recommender models. By providing both a slew of building blocks for loss functions (various pointwise and pairwise ranking losses), representations (shallow factorization representations, deep sequence models), and utilities for fetching (or generating) recommendation datasets, it aims to be a tool for rapid exploration and prototyping of new recommender models. Spotlight offers a slew of popular datasets, including Movielens 100K, 1M,... -
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HyperFun is a geometric modeling language and software tools supporting implicit surfaces, convolution surfaces, constructive solids, and more general function representation (FRep) objects.
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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. -
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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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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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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
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CFML fabric simulation engine
3D drape simulation engine using particle based method
This is free library for garment pattern design and 3D simulation by CFML (Computational Fibrous Materials Lab) group for textile engineers. Currently supports MS Windows environment only(compiled with Embacadero C++ Builder XE5). Details on the performance are submitted to the IJCST journal. Garment pattern data: courtesy of Kolon Group, Shinsegye Department Store, KRIFI.re.kr (former Sewtec), Prada and some more. Using the following open sources: - D. Pritchard.org, "freecloth",... -
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JNanoLog
A tiny (nano) logging API that can replace the largely used System.out
JNanoLog aims to be used during development process to log different messages to the console. In contrary to the quick System.out, JNanoLog display a full log with the message number, logging level, logged message and details if there is any. This API does not aim to replace large advanced APIs like Log4J which aims production but it can replace it in small and during first stage of development because it does not need any configuration and start with low logging level. The API is hard to... -
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java-object-merger
Library for merging and mapping of java objects
Main goal of this library is to provide lightweight, easy configurable with annotations, and powerful tool for object mapping/merging, making life easier for projects with multilayer structure. It was take for me less then one day to completely migrate project at my main work (hundreds of classes, mappings between DTOs, Business objects and view objects) from dozer to java-object-merger without any serious issues. Go to Wiki pages for technical FAQ with examples! Available in maven... -
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GNU Hyperbole: The Everyday Info Manager
Create hyperlinks just by dragging, find contacts instantly, ...
GNU Hyperbole (pronounced Ga-new Hi-per-bo-lee), or just Hyperbole, is an amazing programmable hypertextual information management system implemented as a GNU Emacs package. This is the first public release in 2016. Hyperbole has been greatly expanded and modernized for use with the latest Emacs 25 releases; it supports GNU Emacs 24.4 or above. It contains an extensive set of improvements that can greatly boost your day-to-day productivity with Emacs and your ability to manage information... -
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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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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. -
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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. -
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zsbc
zsbc is a bc-language calculator working with libgmp
zsbc can work with two numeric libraries: libbc (original library of bc) and libgmp. zsbc is fully compatible with bc language and extends it for a few features like implicit powmod and automatic invmod. When running with libbc numbers lib, it works with decimal numbers (and it manages the "scale" variable = number of decimals) When running with libgmp numbers lib, it works with integers only. zsbc works on Windows and Linux. zsbc was created just for fun and to work on cryptographic topics. ... -
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wavelib
C Implementation of Wavelet Transform (DWT,SWT and MODWT)
Methods Implemented DWT/IDWT A decimated Discrete Wavelet Transform implementation using implicit signal extension and up/downsampling so it is a fast implementation. A FFT based implementation is optional but will not be usually needed. Both periodic and symmetric options are available. SWT/ISWT Stationary Wavelet Transform. It works only for signal lengths that are multiples of 2^J where J is the number of decomposition levels.