Search Results for "claw-code" - Page 2
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Showing 1379 open source projects for "claw-code"
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Arthas
Alibaba Java Diagnostic Tool
...However, this is tricky as some issues cannot be reproduced easily on a different environment, or even disappear once restarted. And if you're thinking of adding some logs to your code to help troubleshoot the issue, you will have to go through the following lifecycle; test, staging, and then to production. Time is money! This approach is inefficient! Besides, the issue may not be reproducible once the JVM is restarted, as described above. Arthas was built to solve these issues. -
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MCM-ICM
Mathematical Contest resources
...The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines. -
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Manim Python
Animation engine for explanatory math videos
Manim is a Python library and animation engine designed for creating precise, programmatic mathematical visuals—famously used by 3Blue1Brown. It enables developers and educators to script animations using code and produce high-quality explanatory math videos. -
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DifferentialEquations.jl
Multi-language suite for high-performance solvers of equations
...At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. Solving differential equations with different methods from different languages and packages can be done by changing one line of code, allowing for easy benchmarking to ensure you are using the fastest method possible. -
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Ludwig
A codeless platform to train and test deep learning models
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict on new data. -
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Mathematics Dataset
This dataset code generates mathematical question and answer pairs
The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear... -
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MyBatis Mapper4
Mybatis common mapper, easy to use
...Through a bottom-up approach, readers can better understand and master the advanced usage of MyBatis. At the same time, a detailed configuration introduction is provided for the code generator of MyBatis. . In addition, the book also provides detailed content for cache configuration, plug-in development, Spring, and Spring Boot integration. Finally, we introduce Git and GitHub to let readers understand the MyBatis open source project. -
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Perceval
An open source framework for programming photonic quantum computers
An open-source framework for programming photonic quantum computers. Through a simple object-oriented Python API, Perceval provides tools for composing circuits from linear optical components, defining single-photon sources, manipulating Fock states, running simulations, reproducing published experimental papers and experimenting with a new generation of quantum algorithms. It aims to be a companion tool for developing photonic circuits – for simulating and optimizing their design, modeling... -
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Elasticsearch Node.js client
Elasticsearch client library for Node.js
...In the past, install multiple versions of the same package was not possible, but with npm v6.9, you can do that via aliasing. You will require the packages from your code by using the alias you have defined. -
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Leiningen
Automate Clojure projects easily
Leiningen is the easiest way to use Clojure. With a focus on project automation and declarative configuration, it gets out of your way and lets you focus on your code. Leiningen and Clojure require Java. OpenJDK version 8 is recommended at this time. If you have Leiningen installed, you can read the tutorial by running lein help tutorial. It does not cover learning the language itself; good Clojure documentation can be found elsewhere. If your preferred package manager offers a recent version of Leiningen, try that first as long as it has version 2.x. ... -
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GIT quick statistics
An efficient way to access various statistics in git repository
git-quick-stats is a simple and efficient way to access various statistics in a git repository. Any git repository may contain tons of information about commits, contributors, and files. Extracting this information is not always trivial, mostly because there are a gadzillion options to a gadzillion git commands. For those who prefer to utilize command-line options, git-quick-stats also has a non-interactive mode supporting both short and long options. You can change to the legacy color... -
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Sming
Open source framework simplifying the creation of C++ applications
...Integrated host emulator to assist with developing, testing, and debugging libraries and applications on a PC before uploading them to an actual microcontroller. Built-in powerful wireless modules. Compatible with standard Libraries use popular hardware in a few lines of code. Simple yet powerful hardware API wrappers. HardwareSPI library provides advanced asynchronous SPI device master capability including the use of ESP8266 ‘overlapped’ mode for reduced pin usage and dual/quad I/O support. Modular C++ installable file system interface. -
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ESP8266Audio
Arduino library to play MOD, WAV, FLAC, MIDI, RTTTL, MP3
...For real-time, autonomous speech synthesis, check out ESP8266SAM, a library that uses this one and a port of an ancient format-based synthesis program to allow your ESP8266 to talk with low memory and no network required. All this code is released under the GPL, and all of it is to be used at your own risk. If you find any bugs, please let me know via the GitHub issue tracker or drop me an email. The MOD and MP3 routines were taken from StellaPlayer and libMAD respectively. The software I2S delta-sigma 32x oversampling DAC was my own creation and sounds quite good if I do say so myself. -
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gptoolbox
Matlab toolbox for Geometry Processing
...It also implements discrete differential geometry operators, geodesic distance computations, and constructive solid geometry operations. Beyond geometry, gptoolbox includes features for quadratic programming, image colorization, and dithering. Most of the functions are pure MATLAB code, requiring only that the toolbox be added to the MATLAB path, while some specialized features depend on external libraries and compiled mex files. -
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OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE)
...At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. Solving differential equations with different methods from different languages and packages can be done by changing one line of code, allowing for easy benchmarking to ensure you are using the fastest method possible. -
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Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard deviation etc. ... -
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Vedo
A python module for scientific analysis of 3D data
...Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers. vedo is based on VTK and numpy, with no other dependencies. Import meshes from VTK format, STL, Wavefront OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD (PointCloud). Export meshes as ASCII or binary to VTK, STL, OBJ, PLY formats. Analysis tools like Moving Least Squares, mesh morphing and more. ... -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. ... -
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go-i18n
Translate your Go program into multiple languages
go-i18n is a Go package and a command that helps you translate Go programs into multiple languages. Supports pluralized strings for all 200+ languages in the Unicode Common Locale Data Repository (CLDR). Code and tests are automatically generated from CLDR data. Supports strings with named variables using text/template syntax. Supports message files of any format (e.g. JSON, TOML, YAML). Use goi18n extract to extract all i18n.Message struct literals in Go source files to a message file for translation. Create an empty message file for the language that you want to add (e.g. translate.es.toml). ... -
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RobotsTxt
The repository contains Google's robots.txt parser
This is a high-performance, production-tested library for parsing and evaluating robots.txt rules against crawler user agents. It implements the core semantics of the Robots Exclusion Protocol: user-agent sections, Allow/Disallow directives, wildcard handling, and precedence rules. The code is optimized for speed and low memory so large crawls can evaluate millions of URLs quickly. It also focuses on correctness—edge cases like overlapping patterns and longest-match resolution are handled consistently. Consumers integrate it to decide whether a specific URL may be fetched by a particular bot name and to respect crawl-delay or sitemaps hints where applicable. ... -
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Mergo
Mergo: merging Go structs and maps since 2013
...Keep in mind that in 0.3.2, Mergo changed Merge()and Map() signatures to support transformers. I added an optional/variadic argument so that it won't break the existing code. You can only merge same-type structs with exported fields initialized as zero value of their type and same-types maps. Mergo won't merge unexported (private) fields but will do recursively any exported one. It won't merge empty structs value as they are zero values too. -
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CycleGAN and pix2pix in PyTorch
Image-to-Image Translation in PyTorch
...This repo gives developers and researchers a convenient, modern (PyTorch-based) platform to train and test these methods — supporting both paired datasets (input to output) and unpaired datasets (domain-to-domain) with minimal changes. The code supports standard training and inference pipelines, and as of recent updates, compatibility with the latest Python and PyTorch versions (e.g. Python 3.11, PyTorch 2.4) as well as support for distributed/multi-GPU training for scalable workflows. Because of its flexibility, users can apply it to many tasks: e.g. style transfer between domains (e.g. season changes, art-to-photo, etc.), mapping sketches/edges to real images, image colorization, day-to-night, photo enhancement, and more. -
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Surya
Implementation of the Surya Foundation Model for Heliophysics
Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture,... -
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G-Code Syntaxhighlighter for NetBeans
NetBeans Module for Syntaxhighlighting of G-Code (CNC).
NetBeans Module for Syntaxhighlighting of G-Code (CNC). -
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G-Code Transformation Utility
Transformation utility to rotate coordinates in G-Code files
...Write each of the measured point's coordinate with corresponding ideal (original) point coordinate into the reference point (text) file. Then use this utility with source G-Code file & measured reference file to perform transformation into a destination G-Code file. Each X/Y coordinate in "G0", "G00", "G01" commands will be rotated by a calculated angle.
