Search Results for "framework" - Page 30
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5470 projects for "framework" with 1 filter applied:
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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.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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DeepAnalyze
Autonomous LLM agent for end-to-end data science workflows
DeepAnalyze is an open source project that introduces an agentic large language model designed to perform autonomous data science tasks from start to finish. It is built to handle the entire data science pipeline, including data preparation, analysis, modeling, visualization, and report generation without requiring continuous human guidance. DeepAnalyze is capable of conducting open-ended data research across multiple data formats such as structured tables, semi-structured files, and... -
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Preswald
Python tool for browser-based interactive data apps in one file
Preswald is an open source Python-based framework and static-site generator designed for building interactive data applications that run entirely in the browser. It packages application logic, data processing, and user interface components into a single self-contained output, enabling easy sharing and deployment without requiring local dependencies. Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. ... -
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AntV Infographic
Declarative engine for generating AI-powered infographic visuals
AntV Infographic is a declarative infographic generation and rendering framework designed to transform structured data into visually rich infographic outputs. It provides a custom domain-specific language that allows developers and AI systems to describe infographic layouts in a concise and human-readable syntax. It focuses on simplifying data storytelling by enabling fast creation of professional-quality visuals without requiring complex design workflows. -
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ADK Go
Code-first Go toolkit for building, evaluating, and deploying AI agent
ADK-Go is an open source toolkit designed to help developers build, evaluate, and deploy sophisticated AI agents using the Go programming language. It is part of the Agent Development Kit ecosystem and follows a code-first approach that allows developers to define agent behavior, tools, and orchestration logic directly in Go code. ADK-Go applies traditional software engineering principles to agent development, making it easier to structure, test, and maintain complex agent-based systems. It... -
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.
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
HumanLayer is an open source development environment designed to help developers orchestrate and manage AI coding agents working within complex software projects. It provides a framework and tooling that allow AI agents to research, plan, and implement changes in large codebases while maintaining structured workflows. It focuses on enabling AI-assisted development through coordinated agent workflows rather than isolated code generation tasks. HumanLayer integrates with modern AI models and coding assistants to automate tasks such as code research, planning, and implementation while maintaining a structured development process. ... -
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In-The-Wild Jailbreak Prompts on LLMs
A dataset consists of 15,140 ChatGPT prompts from Reddit
In-The-Wild Jailbreak Prompts on LLMs is an open-source research repository that provides datasets and analytical tools for studying jailbreak prompts used to bypass safety restrictions in large language models. The project is part of a research effort to understand how users attempt to circumvent alignment and safety mechanisms built into modern AI systems. The repository includes a large collection of prompts gathered from real-world platforms such as Reddit, Discord, prompt-sharing... -
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Xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Xtuner is a large-scale training engine designed for efficient training and fine-tuning of modern large language models, particularly mixture-of-experts architectures. The framework focuses on enabling scalable training for extremely large models while maintaining efficiency across distributed computing environments. Unlike traditional 3D parallel training strategies, XTuner introduces optimized parallelism techniques that simplify scaling and reduce system complexity when training massive models. The engine supports training models with hundreds of billions of parameters and enables long-context training with sequence lengths reaching tens of thousands of tokens. ... -
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AI Data Science Team
An AI-powered data science team of agents
AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. ... -
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VGGT
[CVPR 2025 Best Paper Award] VGGT
VGGT is a transformer-based framework aimed at unifying classic visual geometry tasks—such as depth estimation, camera pose recovery, point tracking, and correspondence—under a single model. Rather than training separate networks per task, it shares an encoder and leverages geometric heads/decoders to infer structure and motion from images or short clips. The design emphasizes consistent geometric reasoning: outputs from one head (e.g., correspondences or tracks) reinforce others (e.g., pose or depth), making the system more robust to challenging viewpoints and textures. ... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V is a customizable image-to-video generation framework from Tencent Hunyuan, built on their HunyuanVideo foundation. It extends video generation so that given a static reference image plus an optional prompt, it generates a video sequence that preserves the reference image’s identity (especially in the first frame) and allows stylized effects via LoRA adapters. The repository includes pretrained weights, inference and sampling scripts, training code for LoRA effects, and support for parallel inference via xDiT. ... -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation /... -
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books-collection
To the programmer's open source and free books collection
books-collection is a curated directory of open-source and freely accessible books for programmers. Its maintainers state that listed resources are reviewed manually before inclusion. The collection contains both Chinese and English material, with markers identifying language and downloadable files. Topics include databases, security, Java, Go, Python, Rust, web development, JavaScript, Node.js, CSS, Linux, architecture, cloud computing, operating systems, and artificial intelligence.... -
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HEAD
A simple guide to HTML head elements
...It includes examples for character encoding, viewport settings, titles, descriptions, canonical URLs, favicons, social sharing metadata, app behavior, and other document-level concerns. The project is not a framework or package, but a curated documentation resource. It is especially useful for front-end developers, students, and site owners who want to understand the often-overlooked metadata layer of web pages. -
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101 FastAPI Tips
FastAPI Tips by The FastAPI Expert!
101 FastAPI Tips is a curated collection of practical FastAPI advice from a developer deeply involved in the FastAPI ecosystem. Rather than being a full framework or application template, it works as a compact learning resource for improving real FastAPI projects. The tips cover performance, async behavior, WebSocket patterns, project structure, dependency choices, testing habits, and production-minded design decisions. It is especially helpful for developers who already know the basics and want to avoid subtle mistakes that can hurt scalability, reliability, or maintainability. ... -
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ManiSkill
SAPIEN Manipulation Skill Framework
ManiSkill is a benchmark platform for training and evaluating reinforcement learning agents on dexterous manipulation tasks using physics-based simulations. Developed by Hao Su Lab, it focuses on robotic manipulation with diverse, high-quality 3D tasks designed to challenge perception, control, and planning in robotics. ManiSkill provides both low-level control and visual observation spaces for realistic learning scenarios. -
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PilottAI
Python framework for building scalable multi-agent systems
pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers. -
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CSGHub
CSGHub is a brand-new open-source platform for managing LLMs
CSGHub is an open-source framework designed for collaborative scientific research and content generation. It enables researchers to utilize AI-driven tools for literature review, hypothesis generation, and automated writing assistance, streamlining the scientific discovery process. -
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FluentDocker
Use docker, docker-compose local and remote in tests
This library enables docker and docker-compose interactions using a Fluent API. It is supported on Linux, Windows, and Mac. It also has support for the legazy docker-machine interactions. The fluent API builds up one or more services. Each service may be composite or singular. Therefore it is possible to e.g. fire up several docker-compose-based services and manage each of them as a single service or dig in and use all underlying services on each docker-compose service. -
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Compose Destinations
Annotation processing library for type-safe Jetpack Compose navigation
A KSP library that processes annotations and generates code that uses Official Jetpack Compose Navigation under the hood. It hides the complex, non-type-safe and boilerplate code you would have to write otherwise. No need to learn a whole new framework to navigate - most APIs are either the same as with the Jetpack Components or inspired by them. -
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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in... -
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mlforecast
Scalable machine learning for time series forecasting
mlforecast is a time-series forecasting framework built around machine-learning models, designed to make forecasting both efficient and scalable. It lets you apply any regressor that follows the typical scikit-learn API, for example, gradient-boosted trees or linear models, to time-series data by automating much of the messy feature engineering and data preparation. Instead of writing custom code to build lagged features, rolling statistics, and date-based predictors, mlforecast generates those automatically based on a simple configuration. ... -
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HackTheBox CTF Writeups
This cheasheet is aimed at the CTF Players and Beginners
...The broad catalog lets learners choose labs that match their current skill level or preferred platform. It serves as a searchable learning index rather than hosting an automated Hack The Box client or exploitation framework. -
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JavaTutorial
Ten years of experience as a veteran driver in Java technology
...The web section covers Servlets, JSP, filters, listeners, cookies, sessions, Tomcat, Jetty, and Nginx. Development tooling includes Maven, Ant, major IDEs, serializers, template engines, logging libraries, and testing utilities. Framework and middleware coverage includes MyBatis, Spring, Spring Boot, security tools, messaging systems, caches, and distributed services. The repository also links related tutorials and ebook pages, making it a navigable roadmap for learners and working Java engineers. -
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1Backend
Build AI (or any) apps with scalable microservices & microfrontends
1Backend is an AI-native full-stack platform for building distributed applications with microservices and microfrontends. It works as a framework, proxy, and runtime that reduces early infrastructure overhead for developers. The platform includes built-in capabilities for authentication, user accounts, service routing, microfrontend routing, email, and API access. It can run and program LLMs inside containers, making it suitable for AI applications as well as general software products. 1Backend is designed around zero-trust and zero-config principles, with an ORM that can support development even before a database is introduced. ... -
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React in patterns
A free book that talks about design patterns/techniques
...The repository also provides the book in multiple formats, including web, PDF, Mobi, and ePub. It is useful as a conceptual guide for developers who want stronger React architecture habits without relying only on framework-specific recipes.