Search Results for "function graph"
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Showing 41 open source projects for "function graph"
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1
DeepCopy
Create deep copies (clones) of your objects
...Alternatively, you can create your own DeepCopy instance to configure it differently. You may want to roll your own deep copy function. You can add filters to customize the copy process. DeepCopy\Matcher applies on a object attribute. DeepCopy\TypeMatcher applies on any element found in graph, including array elements. The PropertyNameMatcher will match a property by its name. -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
3
NetworkX
Network analysis in Python
...Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. It performs Fourier transformation across infinite-dimensional function spaces and learns better than neural operators. Markov neural operator learns a neural operator with Fourier operators. -
6
plotly
An interactive graphing library for R
...Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. The plot_ly() function provides a ‘direct’ interface to plotly.js with some additional abstractions to help reduce typing. -
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Neovim DBee
Interactive database client for Neovim
Interactive database client for Neovim. This project aims to be as cross-platform as possible, but there are some limitations (for example some of the go dependencies only work on certain platforms). To address this issue, the client implementations are detached from the main logic and they register themselves to DBee backend on plugin start. This allows the use of build constraints, which we use to exclude certain client implementations on certain platforms. You can pass an optional table... -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. This approach encourages modular, testable, and maintainable data pipelines because each transformation is isolated and easily unit tested. ... -
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Wire
Compile-time dependency injection for Go
...Dependency injection tools like Wire aim to simplify the management of initialization code. You describe your services and their dependencies, either as code or as configuration, then Wire processes the resulting graph to figure out ordering and how to pass each service what it needs. -
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Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey... -
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LLMCompiler
An LLM Compiler for Parallel Function Calling
...The framework builds a dependency graph of required operations, identifying which tasks must run sequentially and which can be executed simultaneously. Its architecture includes components such as a planning module that constructs the task graph, a task dispatcher that manages dependencies, and an executor that performs parallel calls. -
12
DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. ... -
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targets
Function-oriented Make-like declarative workflows for R
The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping... -
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Agents 2.0
An Open-source Framework for Data-centric Language Agents
...A prompt-based loss function is then applied to evaluate the quality of the outcome, generating language-based gradients that guide improvements to the agent pipeline. -
15
Fyrox
3D and 2D game engine written in Rust
...First-class 3D and 2D support + ability to mix 3D with 2D. Deferred shading, use tons of lights with small overhead. Built-in save/load, save or load entire state of the engine in one call. Full-featured scene graph with various nodes (pivot, camera, mesh, light, particle system, sprite). High-quality binaural sound with Head-Related Transfer Function (HRTF) support. Standalone scene editor makes scenes in native engine format using the power of rusty editor. Rigid bodies, rich set of various colliders, joints, ray casting, etc. -
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GASCAP
GASCAP can evaluate adsorption in high-throughput way
About GASCAP ------------------------------ GASCAP is designed as a universal program to achieve the adsorption evaluation between any substrates and any adsorbates. The pseudoatom and graph Voronoi diagram method are used to figure out the unequal adsorption sites from any substrates, then the coadsorption structure can be built between substrates and any adsorbates in high-throughput way. The universal machine learning interatomic potentials are used to accelerate the adsorption energy calculations, and the postprocessing toolkits contain the functions of analyzing adsorption energy, calculating work function and charge transfer. -------------------------------- Install Method -------------------------------- set environment variable in Linux system: export PATH=/public/home/yiwc/software/GASCAP/v0.6/GASCAP-v0.6:$PATH if there is any incompatibility problem, please fix them with: .... -
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STLplus C++ library collection
C++ Library collection
...The headers are intended to be readable, so look at them too for usage information on each function and class. -
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GraphQL Voyager
Represent any GraphQL API as an interactive graph
Represent any GraphQL API as an interactive graph. It's time to finally see the graph behind GraphQL. You can also explore number of public GraphQL APIs from our list. With graphql-voyager you can visually explore your GraphQL API as an interactive graph. This is a great tool when designing or discussing your data model. It includes multiple example GraphQL schemas and also allows you to connect it to your own GraphQL endpoint. What are you waiting for, explore your API! Quick navigation on... -
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flot
Attractive JavaScript charts for jQuery
Flot is a pure JavaScript plotting library for jQuery, with a focus on simple usage, attractive looks and interactive features. Works with Internet Explorer 6+, Chrome, Firefox 2+, Safari 3+ and Opera 9.5+. Additional examples are bundled with Flot. Also take a look at the Flot Usage Wiki for screenshots and stories from people and companies using Flot. Take a look at the the examples in examples/index.html; they should give a good impression of what flot can do, and the source code of the... -
20
solgraph
Visualize Solidity control flow for smart contract security analysis
Visualize Solidity control flow for smart contract security analysis. Generates a DOT graph that visualizes the function control flow of a Solidity contract and highlights potential security vulnerabilities. A nice example of piping contract source that is in your clipboard through solgraph, dot, and preview: (Use whatever image previewer is available on your system; Preview.app is available on Mac) You have to have graphviz installed (brew install graphviz) to render the DOT file as an image. ... -
21
Plumbing
Prismatic's Clojure(Script) utility belt
Plumbing is a general-purpose Clojure utility belt and data transformation library endorsed for its pragmatic approach to everyday tasks. It offers a toolkit of macros and functions that simplify common data manipulation patterns, and includes a “Graph” abstraction for structured computation flows. Most of it is also compatible with ClojureScript. Graph is a simple and declarative way to specify a structured computation, which is easy to analyze, change, compose, and monitor. Here's a simple example of an ordinary function definition, and its Graph equivalent. A Graph encodes the structure of a computation, but not how it happens, allowing for many execution strategies. ... -
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plotutils
C/C++ library and tools for 2-D raster and vector graphics
...A libplot programmer needs to learn only one API: not the details of many graphics file formats. The package also contains command-line programs for plotting scientific data, such as GNU graph for XY plotting. Many of them use libplot to export graphics. So, they can export graphics in any of libplot's supported formats, such X, png, pnm, gif (bitmap formats), or svg, ps, ai, cgm, fig, pcl, hpgl, regis, tek (vector). -
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AAG Cloudwatcher Viewer
Simple viewer application for the AAG Cloudwatcher device.
This simple viewer connects to the AAG Cloudwatcher application (https://shop.lunaticoastro.com/product/aag-cloudwatcher-cloud-detector/) and displays Sky Temperature, Dew Temperature, Ambient Temperature and Relative Humidity. A graph function allows to follow changes in the Sky Temperature. Right-clicking on the graph window allows setting the vertical scale of the sky temperature graph. -
24
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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Twiggy
Twiggy is a code size profiler
...The tool offers multiple analysis modes that answer questions like why a function is present, how much space it consumes, and what dependencies pull it into the final binary. By surfacing insights about symbol sizes and call relationships, Twiggy enables developers to optimize builds, remove dead code, and improve load times.