Search Results for "graph" - Page 8
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Showing 492 open source projects for "graph"
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1
SwiftHub
GitHub iOS client in RxSwift and MVVM-C clean architecture
...View repository and user details, events, issues, commits, pull requests, contributors, etc. View issue and pull request messages (MessageKit) Tool for counting lines of code from github repositories (code tabs) (Charts). The missing star history graph of github repos (stars-history) Quickly browse the history of a file from any git repository (git-history) Tool for visualizing GitHub profiles (profile-summary-for-GitHub). View a 3D model of your GitHub contribution grap (skyline) Source file viewer and syntax highlighting (Highlighter) Color themes in light and dark modes (RxTheme) In-app language switching (en, zh, ru, hy) (Localize-Swift) Whats New functionality (WhatsNewKit) Invite friends functionality. ... -
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gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage... -
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GitJournal
Mobile first Note Taking integrated with Git
...All your notes are stored in Markdown. However you can edit the notes in many different ways depending on the task. Soon you'll even be able to visualize yours Notes in a Graph. GitJournal will always be completely Open Source. -
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elf-dependency-walker
ELF dependencies analyser
It is a tool to analyst the dependence of ELF/Mach-O. When you port an ELF library to your own operating system, having a dependency graph is important. Tutorial: https://sourceforge.net/p/elf-dependency-walker/wiki/tutorial/ -
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Mantle
Model framework for Cocoa and Cocoa Touch
Mantle makes it easy to write a simple model layer for your Cocoa or Cocoa Touch application. Core Data solves certain problems very well. If you need to execute complex queries across your data, handle a huge object graph with lots of relationships, or support undo and redo, Core Data is an excellent fit. If you're just trying to access some JSON objects, Core Data can be a lot of work for little gain. Nonetheless, if you're using or want to use Core Data in your app already, Mantle can still be a convenient translation layer between the API and your managed model objects. ... -
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libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization problem can be solved by applying non-linear least squares optimization. -
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Git Graph extension for VSC
View a Git Graph of your repository in Visual Studio Code
View a Git Graph of your repository, and easily perform Git actions from the graph. Configurable to look the way you want! View annotated tag details (name, email, date and message) Copy commit hashes, and branch, stash & tag names to the clipboard. View commit details and file changes by clicking on a commit. View the Visual Studio Code Diff of any file change by clicking on it. -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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BifurcumLib
A library for running through a directional graph.
...It has a simple algorithm (Deep First Search with modifications) and allows sorting children before traversing. This library sums up the authors 4-years experience when programming a commercial tool for graph traversing (which used a much more advanced algorithm) and coaching its users. -
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Cyclone
Powerful workflow engine and end-to-end pipeline solutions
Cyclone is a powerful workflow engine and end-to-end pipeline solution implemented with native Kubernetes resources, with no extra dependencies. It can run anywhere Kubernetes is deployed: public cloud, on-prem or hybrid cloud. Cyclone is architectured with a low-level workflow engine that is application agnostic, offering capabilities like workflow DAG scheduling, resource lifecycle management and most importantly, a pluggable and extensible framework for extending the core APIs. Above... -
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Bower
A package manager for the web
Bower offers generic, unopinionated front-end package management. It manages all the packages you need for a website, making sure they are all up-to-date and in the specific versions that you need. Bower can manage components that contain HTML, CSS, JavaScript, fonts or even image files. There’s no concatenating, minifying code or anything else - it just installs the right versions of the packages you need and their dependencies. How you use your packages will then be entirely up to... -
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Vivid3D-Sharp
Modern 3D engine and IDE written using C# and C++.
Modern 3D engine and IDE written using C# and C++. Vivid features all the required functionality to write modern apps ang games. Including a fully working custom GL UI called "ResonanceUI". It features lighting and shadows(Unified) and can even embed and playback videos via FFMPEG, in the UI or full screen, with fully synced audio+picture. It offers two scripting solutions: C# and a custom language called VividScript, which is an OOP style language. The Editor is based on other... -
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YAMT
YAMT is a minimal Jekyll theme focused on simplicity and ease-of-use
Welcome to YAMT - Yet Another Minimal Theme. YAMT is a minimal Jekyll theme focused on simplicity and ease-of-use. It has great modularity, allowing you to easily decide what you actually want on your website. -
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graphql.js client
A Simple and Isomorphic GraphQL Client for JavaScript
...You can use GraphQL.js with Rails Asset Pipeline using graphqljs-rails. GraphQL.js is isomorphic. You can use it in both browser and Node.js. Create a simple connection to your GraphQL endpoint. graph will be a simple function that accepts query and variables as parameters. You can prepare queries for lazy execution. This will allow you to reuse your queries with different variables without any hassle. -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
...Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. 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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Easy Random
The simple, stupid random Java beans/records generator
Easy Random is a library that generates random Java objects. You can think of it as an ObjectMother for the JVM. The java.util.Random API provides 7 methods to generate random data: nextInt(), nextLong(), nextDouble(), nextFloat(), nextBytes(), nextBoolean() and nextGaussian(). What if you need to generate a random String? Or say a random instance of your domain object? Easy Random provides the EasyRandom API that extends java.util.Random with a method called nextObject(Class type). This... -
19
gradslam
gradslam is an open source differentiable dense SLAM library
...However, learning representations for SLAM has been an open question, because traditional SLAM systems are not end-to-end differentiable. In this work, we present gradSLAM, a differentiable computational graph take on SLAM. Leveraging the automatic differentiation capabilities of computational graphs, gradSLAM enables the design of SLAM systems that allow for gradient-based learning across each of their components, or the system as a whole. -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO).... -
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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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Cleanse
Lightweight Swift Dependency Injection Framework
Cleanse is a dependency injection framework for Swift. It is designed from the ground-up with developer experience in mind. It takes inspiration from both Dagger and Guice. Cleanse is responsible for building a graph (or more specifically a directed acyclic graph) that represents all of your dependencies. This graph starts with a root object which is connected to its immediate dependencies, and those dependencies hold edges to its dependencies and so on until we have a complete picture of your application's object graph. The entry point into managing your dependencies with Cleanse starts by defining a "Root" object that is returned to you upon construction. ... -
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OpenResty SystemTap Toolkit
Real-time analysis and diagnostics tools for OpenResty
The openresty-systemtap-toolkit is a collection of SystemTap-based scripts designed for real-time analysis and diagnostics of OpenResty and its core components, including NGINX, LuaJIT, and ngx_lua. It provides developers and system administrators with tools to trace performance bottlenecks, memory usage, request distribution, regex execution, Lua execution, and file I/O behaviors in production systems. The toolkit helps identify leaks, analyze TCP queues, inspect shared memory usage, and... -
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Pytholog
A logic programming tool and a logical database with a RESTful API
Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. Let's look at the arguments that can be specified while initiating the tool: $... -
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Euler
A distributed graph deep learning framework.
...Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.
