Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 71
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Showing 28452 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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EHS Software and Management SystemERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
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Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
Book6_First-Course-in-Data-Science is an open-source educational project that serves as part of the “Iris Book” series focused on teaching data science and machine learning concepts through a combination of mathematics, programming, and visualization. The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. ... -
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ML-NLP
This project is a common knowledge point and code implementation
ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training methods, and common algorithmic techniques. ... -
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MathModelAgent
An Agent Designed for Mathematical Modeling
...The platform also includes a code execution environment that allows generated programs to be tested, corrected, and refined during the modeling workflow. -
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Repomix
Repomix is a powerful tool that packs your entire repository
Repomix is a developer utility that packages an entire code repository into a single AI-friendly file for analysis by large language models. Its core purpose is to simplify the process of feeding complex codebases into AI tools by consolidating files, metadata, and structure into a unified representation. The tool is particularly valuable for code review, refactoring assistance, and automated documentation workflows where context size matters. -
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GPT PILOT
The first real AI developer
GPT PILOT is an open-source AI developer assistant designed to build full applications by collaborating with a human developer throughout the software lifecycle. Unlike simple autocomplete tools, it aims to function as a true AI engineer that can generate features, set up environments, debug code, and request feedback when necessary. The system works by asking clarifying questions, producing product requirements, and then implementing the application step by step while the user supervises. It powers the Pythagora VS Code extension and relies on coordinated AI agents that mimic roles in a real development workflow. GPT Pilot is intended to automate the majority of routine coding work while leaving strategic decisions and final review to the human developer. ... -
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PRML
PRML algorithms implemented in Python
...Bishop, providing a practical and accessible Python reference for both students and professionals. Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. Many of these algorithms are paired with Jupyter notebooks that let users interact with the code, visualize results, and experiment with parameters in a way that deeply strengthens theoretical understanding. -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. -
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jstraining
Training materials designed to teach JavaScript
...It organizes slides, exercises, and example projects into a progressive curriculum that moves from language fundamentals to tooling and best practices. Learners write code early and often, reinforcing concepts like functions, objects, modules, and asynchronous control flow. The repository encourages modern syntax and patterns while keeping examples small enough to digest in a classroom or workshop setting. It can be adapted for short bootcamps, brown-bag sessions, or self-guided study. Instructors benefit from ready-to-use outlines, while learners get runnable code and tasks that build muscle memory. -
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Design Patterns for Humans
An ultra-simplified explanation to design patterns
Design Patterns for Humans is a developer-friendly guide that explains classic software design patterns using plain language, intuitive analogies, and succinct code examples. Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each pattern’s section typically includes intent, real-world motivation, and an example implementation to cement understanding. ... -
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Software Design in Haskell
Software Design in Haskell
...Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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Clerk
Moldable Live Programming for Clojure
Clerk is a notebook library for Clojure that enables interactive, reproducible, and version-control-friendly live programming. Notebook content is written in standard Clojure namespaces or Markdown with embedded Clojure code blocks and evaluates top-to-bottom for predictable behavior. Clerk notebooks are either regular Clojure namespaces (interspersed with markdown comments) or regular markdown files (interspersed with Clojure code fences). This also means Clerk notebooks are meant to be stored in source control. Clerk notebooks always evaluate from top to bottom. ... -
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Shire
Empower Your Dev Ecosystem with AI Agents
Shire is an AI-driven development ecosystem that empowers developers with AI agents to automate coding tasks, enhance productivity, and elevate code quality. The concept of Shire has its roots in AutoDev, a subproject of UnitMesh. Within AutoDev, we envisioned an AI-driven integrated development environment for developers, which included Shire’s predecessor, DevIns. DevIns was designed to empower users to create custom AI agents tailored to their own IDEs, thus forging a personalized AI-powered development realm. -
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The Acton programming language
The Acton Programming Language
Write programs that seamlessly run as a distributed system over an entire data center or region. All without a single line of RPC code. Acton automatically persists the state of your application (orthogonal persistence) to a built-in distributed backend. No need to use a database or message broker ever again. 0 lines of persistence code. Built-in redundancy; Acton's transactional, high-performance distributed RTS can seamlessly resume application state after hardware failures. ... -
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Fast Binary Encoding (FBE)
Fast Binary Encoding is fast and universal serialization solution
Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, and Swift. Fast Binary Encoding allows to description of any domain models, business objects, complex data structures, client/server requests & responses and generate native code for different programming languages and platforms. -
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sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
...Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos. -
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Finch.jl
Sparse tensors in Julia and more
Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code. -
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Infiltrator.jl
No-overhead breakpoints in Julia
This package provides the @infiltrate macro, which acts as a breakpoint with negligible runtime performance overhead. Note that you cannot access other function scopes or step into further calls. Use an actual debugger if you need that level of flexibility. Running code that ends up triggering the @infiltrate REPL mode via inline evaluation in VS Code or Juno can cause issues, so it's recommended to always use the REPL directly. When the infiltration point is hit, it will drop you into an interactive REPL session that lets you inspect local variables and the call stack as well as execute arbitrary statements in the context of the current local and global scope. -
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i18n-tasks
Manage translation and localization with static analysis, for Ruby i18
Manage translation and localization with static analysis, for Ruby i18n. i18n-tasks helps you find and manage missing and unused translations. This gem analyses code statically for key usages, such as I18n.t('some.key'), in order to report keys that are missing or unused. Pre-fill missing keys, optionally from Google Translate or DeepL Pro. Remove unused keys. Thus addressing the two main problems of i18n gem design, missing keys only blow up at runtime. i18n-tasks can be used with any project using the ruby i18n gem (default in Rails). i18n-tasks health checks if any keys are missing or not used, that interpolations variables are consistent across locales, and that all the locale files are normalized (auto-formatted). -
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Humanizer
Humanizer meets all your .NET needs for manipulating strings
...Humanizer meets all your .NET needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities. It is part of the .NET Foundation and operates under their code of conduct. It is licensed under the MIT (an OSI-approved license). Humanizer is a .NET Standard Class Library with support for .NET Standard 1.0+ (.Net 4.5+, UWP, Xamarin, and .NET Core). Also Humanizer symbols are source indexed with SourceLink and are included in the package so you can step through Humanizer code while debugging your code. ... -
20
The Swift Programming Language Chinese
The Swift Programming Language in Chinese
...Swift is friendly to new programmers. It’s an industrial-quality programming language that’s as expressive and enjoyable as a scripting language. Writing Swift code in a playground lets you experiment with code and see the results immediately, without the overhead of building and running an app. -
21
openwechat
golang WeChat SDK
...Modules are easy to use and easy to expand. Support customized development, such as logging, and automatic reply. Breakthrough login restrictions. No need to scan the QR code repeatedly to log in. Support multiple WeChat accounts to log in at the same time. Message reply, send text, pictures, files, emoji and other messages to designated objects (friends, groups) Hot login (no need to repeatedly scan the code to log in), custom message processing, file download, message anti-withdrawal. Obtain object information, set friend notes, pull friends into groups, etc. -
22
c2go
A tool for transpiling C to Go
...To be a repeatable and predictable tool (rather than doing most of the work and you have to clean up the output to get it working.) To deliver quick and small version increments. The ultimate milestone is to be able to compile the SQLite3 source code and have it working without modification. This will be the 1.0.0 release. The c2go program processes a single C file and outputs the translated code in Go. The C code is preprocessed with clang. This generates a larger file (pp.c), but removes all the platform-specific directives and macros. -
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mockery
A mock code autogenerator for Golang
mockery provides the ability to easily generate mocks for Golang interfaces using the stretchr/testify/mock package. It removes the boilerplate coding required to use mocks. mockery uses spf13/viper under the hood for its configuration parsing. It is bound to three different configuration sources, in order of decreasing precedence. By default, it searches the current working directory for a file named .mockery.[extension] where [extension] is any of the recognized extensions. Mockery will... -
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golangci-lint
Fast linters Runner for Go
...It runs linters in parallel, uses caching, supports yaml config, has integrations with all major IDE and has dozens of linters included. ⚡ Very fast: runs linters in parallel, reuses Go build cache and caches analysis results. Yaml-based configuration. Integrations with VS Code, Sublime Text, GoLand, GNU Emacs, Vim, Atom, GitHub Actions. A lot of linters included, no need to install them. Minimum number of false positives because of tuned default settings. Nice output with colors, source code lines and marked identifiers. -
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Rustler
Safe Rust bridge for creating Erlang NIF functions
...The code you write in a Rust NIF should never be able to crash the BEAM. Decoding and encoding rust values into Erlang terms is as easy as a function call. Making a Rust struct encodable and decodable to Erlang or Elixir can be done with a single attribute. Enables you to safely pass a reference to a Rust struct into Erlang code. The struct will be automatically dropped when it's no longer referenced.
