Search Results for "function graph"
Sort By:
Showing 56 open source projects for "function graph"
View related business solutions-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
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. -
2
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”. -
4
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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
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. -
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. -
7
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... -
8
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. ... -
9
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. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
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. -
11
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... -
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. ... -
13
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... -
14
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. -
16
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. -
17
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: .... -
18
codequery
Please go to the GitHub page for more information
A code-understanding tool based on cscope and ctags. Please go to the GitHub page for more information. Homepage: http://ruben2020.github.io/codequery GitHub: https://github.com/ruben2020/codequery -
19
HiPS : Hierarchical Petri net Simulator
HiPS tool features to design and analyze hierarchical Petri nets
HiPS tool is developed at the Department of Computer Science and Engineering, Shinshu University, which is a tool design and analysis of Petri nets, developed using Microsoft Visual C # and C++. HiPS tool has a way of intuitive GUI which enable hierarchical and/or timed-net design. HiPS tool has also functions of static/dynamic analysis : T-invariant detection, Reachability path analysis, deadlock state detection, and k-boundedness analysis. In addition, it is possible to perform a random... -
20
Luke StackWalker is a GUI-based C/C++ source code profiler for Windows. It samples your application's stack while the application is running to find out where the application spends most of its time.
-
21
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... -
22
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... -
23
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. ... -
24
Notepad++ GraphBuilder plugin
Building math graphs in notepad++
GraphiBuilder 1.0.1.9 version is released. Please note that the plugin is intended for 32-bit version of Notepad++ only. The "deriv" function is implemented. For example, the following formula: deriv ("sin x", "x", 0.01) draws derivative of "sin x" function graph using "x" as x variable. Third parameter is optional and specifies the accuracy. The latest version is powered by high-precision mode which makes calculation the overlaps much more accurate. Polar coordinate system max angle is now adjustable. ... -
25
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. ...