Search Results for "complex function plotter" - Page 2
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Showing 187 open source projects for "complex function plotter"
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Yuki Hook API
An efficient Hook API and Xposed Module solution built in Kotlin
...Simple and easy to use it now! Do not need complex configuration and full development experience, Integrate dependencies and enjoy yourself. -
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Typer
Typer, build great CLIs, based on Python type hints
...Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. The simplest example adds only 2 lines of code to your app: 1 import, 1 function call. Grow in complexity as much as you want, create arbitrarily complex trees of commands and groups of subcommands, with options and arguments. And it's intended to be the FastAPI of CLIs. Typer stands on the shoulders of a giant. Its only internal dependency is Click. -
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SIMD
C++ wrappers for SIMD intrinsics
SIMD is a C++ library that provides portable abstractions over SIMD (Single Instruction, Multiple Data) instructions, enabling developers to write high-performance vectorized code without dealing directly with architecture-specific intrinsics. SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage... -
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Ibis
Expressive analytics in Python at any scale
...All tables in Ibis are immutable. To select a subset of a table's columns, or to add new columns, you must produce a new table by means of a projection. If you pass a function instead of a string or Ibis expression in any projection context, it will be invoked with the "parent" table as its argument. This can help significantly when [composing complex operations. -
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Code-Mode
Plug-and-play library to enable agents to call MCP and UTCP tools
Code-Mode is a plug-and-play library that lets AI agents call tools by executing TypeScript (or via a Python wrapper) instead of making many individual function calls. Its core philosophy is that language models are very good at writing code, so rather than exposing hundreds of separate tool endpoints, you give the model a single “code execution” tool that has access to your full toolkit through code. This approach can dramatically reduce the number of tool-call iterations needed in complex workflows, turning multi-step call chains into a single code execution with internal branching and loops. ... -
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DearPyGui
Graphical User Interface Toolkit for Python with minimal dependencies
Dear PyGui is an easy-to-use, dynamic, GPU-Accelerated, cross-platform graphical user interface toolkit(GUI) for Python. It is “built with” Dear ImGui. Features include traditional GUI elements such as buttons, radio buttons, menus, and various methods to create a functional layout. Additionally, DPG has an incredible assortment of dynamic plots, tables, drawings, debuggers, and multiple resource viewers. DPG is well suited for creating simple user interfaces as well as developing complex... -
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JavaScript Obfuscator
A powerful obfuscator for JavaScript and Node.js
JavaScript Obfuscator is a Node.js library and CLI that transforms readable JavaScript into hardened, difficult-to-reverse code. It applies techniques such as identifier mangling, string array extraction/encoding, control-flow flattening, dead-code injection, and numeric literal transformations to disguise intent. Advanced options include self-defending code, domain locking, debug/console protection, and property key transformation, allowing you to tailor defenses to your threat model. The... -
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Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside traditional Electron version for optimal performance. -
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Stagehand
An AI web browsing framework focused on simplicity and extensibility
...Stagehand is the AI-powered successor to Playwright, offering three simple APIs (act, extract, and observe) that provide the building blocks for natural language-driven web automation. The goal of Stagehand is to provide a lightweight, configurable framework, without overly complex abstractions, as well as modular support for different models and model providers. It's not going to order you a pizza, but it will help you reliably automate the web. Each Stagehand function takes in an atomic instruction, such as act("click the login button") or extract("find the red shoes"), generates the appropriate Playwright code to accomplish that instruction, and executes it. -
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JuliaConnectoR
A functionally oriented interface for calling Julia from R
...From a technical perspective, R data structures are serialized with an optimized custom streaming format, sent to a (local) Julia TCP server, and translated to Julia data structures by Julia. The results of function calls are likewise translated back to R. Complex Julia structures can either be used by reference via proxy objects in R or fully translated to R data structures. -
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JPlotter
Plotter for math functions y=f(x)
JPlotter is an open source math plotter that can draw graphs of arbitrary mathematical functions. Some of the special features are plotting of the derivatives, area calculation, plotting of directional fields of differential equations and plotting of phase and amplitude graph of complex functions. -
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GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
...The GLM-4-32B-0414 models are trained on ~15T high-quality data (including substantial synthetic reasoning data), then post-trained with preference alignment, rejection sampling, and reinforcement learning to improve instruction following, coding, function calling, and agent-style behaviors. The GLM-Z1-32B-0414 line adds deeper mathematical, coding, and logical reasoning via extended reinforcement learning and pairwise ranking feedback, while GLM-Z1-Rumination-32B-0414 introduces a “rumination” mode that performs longer, tool-using deep research for complex, open-ended tasks. A lightweight GLM-Z1-9B-0414 brings many of these techniques to a smaller model, targeting strong reasoning under tight resource budgets. -
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Go Jsonnet
This an implementation of Jsonnet in pure Go
go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to... -
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gojq
Pure Go implementation of jq
...You can also embed gojq as a library to your Go products. gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes building scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the query. gojq does not keep the order of object keys. I understand this might cause problems for some scripts but basically, we should not rely on the order of object keys. Due to this limitation, gojq does not have the keys_unsorted function and --sort-keys (-S) option. gojq supports arbitrary-precision integer calculation while jq does not; jq loses the precision of large integers when calculation is involved. -
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Bolt for JavaScript
A framework to build Slack apps using JavaScript
...To listen to messages that your app has access to receive, you can use the message() method which filters out events that aren’t of type message. message() accepts an optional pattern parameter of type string or RegExp object which filters out any messages that don’t match the pattern. A RegExp pattern can be used instead of a string for more granular matching. Within your listener function, say() is available whenever there is an associated conversation (for example, a conversation where the event or action which triggered the listener occurred). say() accepts a string to post simple messages and JSON payloads to send more complex messages. The message payload you pass in will be sent to the associated conversation. -
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WS2812FX
WS2812 FX library for Arduino and ESP8266
...It is meant to be a drop-in replacement for the Adafruit NeoPixel library with additional features. You can search for WS2812FX in the Arduino IDE Library Manager or install the latest (or development) version manually. More complex effects can be created by dividing your string of LEDs into segments (up to ten) and programming each segment independently. Use the segment() function to program each segment's mode, color, speed, and direction (normal or reverse). Note, some effects make use of more than one color (up to three) and are programmed by specifying an array of colors. ... -
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magic-trace
magic-trace collects and displays high-resolution traces
magic-trace is a high-resolution performance tracing tool developed to analyze and visualize the execution of programs at a very detailed level using hardware tracing capabilities. It leverages technologies such as Intel Processor Trace to capture precise information about how a program executes over time, including function calls and instruction flow. The tool is designed for performance debugging, allowing developers to identify bottlenecks, inefficiencies, and unexpected behavior in complex systems. It includes a visualization interface that presents traces in an understandable format, making it easier to interpret large volumes of execution data. ... -
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EconML
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
...In a nutshell, this toolkit is designed to measure the causal effect of some treatment variable(s) T on an outcome variable Y, controlling for a set of features X, W and how does that effect vary as a function of X. -
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LiquidHaskell
Liquid Types For Haskell
This is the development site of the LiquidHaskell formal verification tool. If you're a LiquidHaskell user (or just curious), you probably want to go to the documentation website instead. LiquidHaskell (LH) refines Haskell's types with logical predicates that let you enforce important properties at compile time. LH warns you that head is not total as it is missing the case for [] and checks that it is total on NonEmpty lists. The input contract propagates to uses of head which are verified... -
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Nethereum
Ethereum .Net cross platform integration library
...Nethereum is developed targeting netstandard 1.1, netstandard 2.0, netcore 2.1, netcore 3.1, net451 and also as a portable library, hence it is compatible with all the operating systems (Windows, Linux, MacOS, Android, and OSX) and has been tested on cloud, mobile, desktop, Xbox, hololens and windows IoT. Simplified smart contract interaction for deployment, function calling, transaction and event filtering and decoding of topics. ABI to .Net type encoding and decoding, including attribute-based for complex object deserialization. Transaction, RLP, and message signing, verification, and recovery of accounts. The simplified account life cycle for both managed by third-party client (personal) or stand-alone (signed transactions). -
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Ultraleap Unity Plugin
Ultraleap SDK for Unity
The Ultraleap Unity Plugin empowers developers to build Unity applications using Ultraleap's hand-tracking technology. It includes various assets, examples, and utilities that make it easy to design and build applications using hand tracking in XR projects. Due to the ever changing landscape of package dependencies in Unity we cannot guarantee compatibility with every plugin or variant of Unity, but aim to provide support for any LTS versions that are under continuous support from Unity. If... -
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react-highlight-words
React component to highlight words within a larger body of text
...It supports case-sensitive or insensitive matching and optional auto-escaping so user-entered queries won’t be treated as regex. For advanced scenarios, you can provide a custom findChunks function to control tokenization (e.g., word boundaries or diacritics-aware behavior). The highlight output is easy to restyle via a custom tag (like mark) or inline styles, keeping the visual layer decoupled from the matching logic. Because it’s small and framework-idiomatic, it drops into tables, lists, virtualized scroll areas, and complex UIs without forcing layout changes. -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have... -
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plotly
An interactive graphing library for R
This part of the book teaches you how to leverage the plotly R package to create a variety of interactive graphics. There are two main ways to creating a plotly object: either by transforming a ggplot2 object (via ggplotly()) into a plotly object or by directly initializing a plotly object with plot_ly()/plot_geo()/plot_mapbox(). Both approaches have somewhat complementary strengths and weaknesses, so it can pay off to learn both approaches. Moreover, both approaches are an implementation of... -
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable...
