Search Results for "code" - Page 61
Sort By:
8303 projects for "code" with 1 filter applied:
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
1
Then
Tame async code with battle-tested promises
Tame async code with battle-tested promises. Because async code is hard to write, hard to read, hard to reason about. A pain to maintain. By using a then keyword that enables you to write aSync code that reads like an English sentence. Async code is now concise, flexible and maintainable. -
2
A "gumbo" of tools and concepts supporting rich client applications with 2D/3D user interfaces. Expands on the code from the book "3D User Interfaces with Java 3D", and includes a generous contribution of RCP code from Meyer Sound. Recent work includes a Norden bombsight simulator, with terrain rendering based on NASA's WorldWind SDK. For this effort YourKit has generously made available its full-featured Java Profiler (https://www.yourkit.com/java/profiler/index.jsp), which has proved invaluable in improving simulator performance.
-
3
Ini file manager
A standalone, portable Ada package for configuration files
Config is an Ada package for parsing configuration files (.ini, .inf, .cfg, ...) and retrieving keys of various types. New values for single keys, or entire sections, can be set. Standalone and unconditionally portable code. Alire crate: https://alire.ada.dev/crates/ini_files Mirror: https://github.com/zertovitch/ini-files -
4
LIDA
Automatic Generation of Visualizations and Infographics using LLMs
LIDA is an open-source library developed to automate the process of creating data visualizations and infographics using large language models. The system treats visualizations as executable code and uses AI to generate, modify, and interpret that code in order to transform raw datasets into meaningful charts and graphical explanations. Instead of requiring users to manually explore datasets and write plotting scripts, LIDA analyzes the data and automatically proposes visualization goals and design ideas that highlight patterns and relationships. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Phaser Editor 2D
A web-based IDE for HTML5 game development. Powered by Phaser
Phaser Editor 2D v3 is a lightweight, multi-platform IDE for HTML5 game development using the Phaser framework. It combines visual tools and code editing capabilities, helping developers design scenes, UI, and game logic in an efficient and organized workflow. -
6
Faast.js
Serverless batch computing made simple
Serverless batch computing made simple. Serverless function architectures are optimized for event-driven systems. Faast.js simplifies serverless batch applications by automating infrastructure, code packaging, invocation, and cleanup. Combine the power of scalable serverless functions with the ease-of-use and familiarity of ordinary async functions. Go from zero to a thousand cores in seconds. Scale back down to zero just as quickly. Faast.js delivers the brute force power of the cloud with the convenience and familiarity of asynchronous function calls. ... -
7
AIConfig
AIConfig is a config-based framework to build generative AI apps
AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning prompt logic into a reusable and editable artifact. ... -
8
gopkg
Example for the go pkg's function
gopkg is a large community-driven repository of examples for Go’s standard library packages, created to fill the gap left by the relatively sparse official examples. The project organizes content so that each package has its own directory and each function within that package gets its own Markdown file with code examples. The idea is that developers can quickly look up “how do I actually use this function?” without digging through source code or scattered blog posts. The maintainer provides conventions for naming and formatting, and requires that submitted examples compile and run locally or on the Go Playground, which helps keep the collection reliable. ... -
9
Adrenaline
AI tool that answers and explains programming questions interactively
Adrenaline is an AI-powered developer tool designed to answer technical questions and help users better understand code and programming concepts. It focuses on enabling natural language interaction with codebases, documentation, and general software development topics, making it easier for developers to explore and reason about technical material. Adrenaline is presented as an issues-only repository, meaning it primarily serves as a feedback and tracking hub rather than containing the full application code. ... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
scikit-learn-videos repository accompanies a video tutorial series designed to teach machine learning using Python’s scikit-learn library. It provides the Jupyter notebooks used in each lesson so learners can reproduce the demonstrations and experiment with the code themselves. The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. Each video corresponds to a notebook that walks through the code step by step, allowing students to see both the theoretical explanation and its practical implementation. ... -
11
Azure Zero to Hero Course
Repository to learn Azure from Zero
Azure Zero to Hero Course is a comprehensive, day-by-day course repository designed to teach Azure fundamentals and practical skills from the ground up, targeted especially at aspiring DevOps engineers. The README is structured as a multi-day curriculum: early days cover cloud concepts, terminology, and Azure basics such as regions, availability zones, resource groups, and VM creation. Subsequent days dive into networking (VNets, subnets, NSGs, load balancers, firewalls), storage services,... -
12
GitGot
Semi-automated tool for discovering exposed secrets in GitHub data
...GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive information that may have been unintentionally exposed in public code. During a search session, users review results and provide feedback that allows GitGot to filter out irrelevant or repetitive findings. This feedback is used to build blacklists that eliminate results based on repository names, file names, user names, or fuzzy matches of file content. The approach helps reduce noise while guiding the search process toward more relevant results. -
13
BinaryPHP is a PHP To C++ converter which will convert PHP scripts into C++ equivalents ready to be compiled using any ANSI compiler.
-
14
Hiera
A fast, powerful, and simple hierarchical vision transformer
...The core idea is to use straightforward hierarchical attention with a minimal set of architectural “bells and whistles,” achieving competitive or superior accuracy while being markedly faster at inference and often faster to train. The repository provides installation options (from source or Torch Hub), a model zoo with pre-trained checkpoints, and code for evaluation and fine-tuning on standard benchmarks. Documentation emphasizes that model weights may have separate licensing and that the code targets practical experimentation for both research and downstream tasks. Community discussions cover topics like dataset pretrains, integration in other frameworks, and comparisons with related implementations. ... -
15
Neural Networks: Zero to Hero
A course on neural networks that starts all the way at the basics
...The course is especially valuable because it avoids treating neural networks as black boxes. nn-zero-to-hero is best suited for programmers who want a practical, code-first introduction to how modern neural networks work. -
16
JavaScript Questions
A long list of (advanced) JavaScript questions, and their explanations
...Because questions range from beginner to advanced, you can use it as a progressive study set or a quick refresher before assessments. It’s equally helpful for mentors: the questions can anchor study groups, workshops, or code-review discussions. -
17
Statistical Rethinking 2024
This course teaches data analysis
The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools.... -
18
mers
Portable software and data related to Mersenne numbers
Portable software related to Mersenne numbers. Useful to automate certain tasks related to GIMPS (www.mersenne.org) for computers that cannot run the GIMPS software for whatever reason. Much of the code has been in use since 1990 or so by a few people. The project web site at https://mers.sourceforge.io/mersenne.html has data about Mersenne numbers from many people generated by this and other software, notably from the GIMPS project. -
19
Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,... -
20
dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
21
ToRA
Tool-integrated Reasoning LLM Agents
...Instead of relying solely on text generation, the system dynamically invokes tools such as symbolic solvers or programming libraries when deeper computation is required. This approach allows the model to reason step by step in natural language and then execute precise calculations or code through tool calls, creating a hybrid reasoning workflow. The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools. -
22
JazzTeamEdu project contains Java educational sources provided by JazzTeam Open Source company. These sources are examples of usage of classes, investigations related to popular frameworks which are not formed as separate project yet.
-
23
Vanilla Web Projects
Mini projects built with HTML5, CSS & JavaScript
...Each project targets a concrete concept—DOM manipulation, events, localStorage, fetch, form validation, audio/video APIs, and more—so learners see ideas applied in working code. The codebases are intentionally compact and readable, making them easy to clone, tweak, and extend. Projects progress from beginner-friendly to moderately advanced, offering a steady ramp of difficulty and variety. This repository is popular for daily practice, classroom demos, and portfolio starters because it emphasizes results you can see in the browser immediately. ... -
24
DeepSeek LLM
DeepSeek LLM: Let there be answers
The DeepSeek-LLM repository hosts the code, model files, evaluations, and documentation for DeepSeek’s LLM series (notably the 67B Chat variant). Its tagline is “Let there be answers.” The repo includes an “evaluation” folder (with results like math benchmark scores) and code artifacts (e.g. pre-commit config) that support model development and deployment. According to the evaluation files, DeepSeek LLM 67B Chat achieves strong performance on math benchmarks under both chain-of-thought (CoT) and tool-assisted reasoning modes. ... -
25
GPT-2
Code for the paper Language Models are Unsupervised Multitask Learners
This repository contains the code and model weights for GPT-2, a large-scale unsupervised language model described in the OpenAI paper “Language Models are Unsupervised Multitask Learners.” The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena.
