Search Results for "implicit" - Page 3
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Showing 142 open source projects for "implicit"
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OAuth2orize
OAuth 2.0 authorization server toolkit for Node.js
OAuth2orize is a Node.js module for implementing OAuth 2.0 authorization servers, providing the server-side machinery needed to support standard OAuth grant types such as authorization code, implicit, resource owner password credentials, and client credentials. It integrates with Express and similar frameworks, letting developers define how clients are authenticated, how authorization decisions are made, and how tokens are issued, all through a clean, extensible API. The module encourages a modular design where individual grant types are plugged in as needed, enabling only relevant flows for a given application, such as supporting third-party app access without exposing user credentials. ... -
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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. -
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PIFuHD
High-Resolution 3D Human Digitization from A Single Image
PIFuHD (Pixel-Aligned Implicit Function for 3D human reconstruction at high resolution) is a method and codebase to reconstruct high-fidelity 3D human meshes from a single image. It extends prior PIFu work by increasing resolution and detail, enabling fine geometry in cloth folds, hair, and subtle surface features. The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a mesh via marching cubes. ... -
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm
LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's easy to use, fast (via multithreaded model estimation), and produces high-quality results. It also makes it possible to incorporate both item and user metadata into the traditional matrix factorization algorithms. It represents each user and item as the sum of the latent representations of their features, thus allowing recommendations to generalize to new items (via item features) and to new users (via user features). -
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Point-E
Point cloud diffusion for 3D model synthesis
point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second... -
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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. -
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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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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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Abdal FTP BruteForce
FTP BruteForce tool For real Pentest
Abdal FTP BruteForce tool is a powerful software with zero error rate to test the intrusion of servers that work with FTP protocol, this tool supports proxy for attacks and can transfer all your traffic in the hacking process to the proxy Slowly -
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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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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 -
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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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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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Aegis Implicit Mail (AIM)
Send Mime and Smime Emails to Any Type of Mail Server
Aegis Implicit Mail is a free and open source library which is designed to provide fast and developer friendly API to send emails using SMTP ports. Binaries are available in the form of NuGet package: https://www.nuget.org/packages/AIM Please check http://pki.tools/aim.html as well AIM Supports : * None Ssl Mails * Implicit Ssl Mails * Explicit Ssl Mails * Smtp Connection test * Detect Ssl type of mail server * Attachments for MIME and S/MIME message -
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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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Abaqus implementation (through UEL subroutine) of the incremental energy/dissipation based arc-length method. Suitable for physically non-linear, geometrically linear solid mechanics problems solved through an implicit solution algorithm. The zip file includes a read-me pdf giving information about how to use the files. The details are presented in the following paper : Author : İ. Özdemir 'An alternative implementation of the incremental energy/dissipation based arc-length control method', Theoretical and Applied Fracture Mechanics, Vol. 100, April 2019, 208-2014
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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. ...