Search Results for "framework" - Page 73
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Showing 12086 open source projects for "framework"
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Symfony Demo Application
Symfony Demo Application
Symfony Demo is a reference application created by the Symfony community to showcase best practices and demonstrate how to build a modern web application using the Symfony framework. It features a blog-style website with user authentication, content management, and a clean, responsive design. The project serves as an educational tool for learning Symfony development, including configuration, routing, controllers, and templating. -
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Mctx
Monte Carlo tree search in JAX
mctx is a Monte Carlo Tree Search (MCTS) library developed by Google DeepMind for reinforcement learning research. It enables efficient and flexible implementation of MCTS algorithms, including those used in AlphaZero and MuZero. -
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LiteMultiAgent
The Library for LLM-based multi-agent applications
LiteMultiAgent is a lightweight and extensible multi-agent reinforcement learning (MARL) platform designed for rapid experimentation. It allows researchers to design and test coordination, competition, and collaboration scenarios in simulated environments. -
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tapjs
Test Anything Protocol tools for node
...The API is simple but powerful. t.test() and a few assertions are all you really need. Everything is statically typed, so your editor can tell you what's available. Remember less, just write some tests. An easily extensible TAP test framework, with outstanding TypeScript support, a CLI, plenty of assertion methods, snapshots, object/method spies, module mocking, file system fixtures, lifecycle hooks, test filtering, comprehensive code coverage analysis, color-accessible test reporters, and more. Software testing is a software and user experience design challenge that balances on the intersection of many conflicting demands. -
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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Hera
Hera is an Argo Python SDK
Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
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AWS Encryption SDK for Java
AWS Encryption SDK
The AWS Encryption SDK is a client-side encryption library designed to make it easy for everyone to encrypt and decrypt data using industry standards and best practices. It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and... -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
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Flyleaf
Media Player .NET Library for WinUI 3/ WPF/WinForms
Flyleaf is a high-performance media playback engine for .NET applications that provides advanced video and audio playback capabilities using FFmpeg and hardware acceleration. It is designed to deliver smooth playback for high-resolution content, including 4K and HDR video. The framework includes a customizable player interface and supports integration into desktop applications built with WPF or other .NET UI frameworks. Flyleaf offers features such as subtitle rendering, audio track selection, and playback controls for a complete media experience. It also includes advanced buffering and synchronization mechanisms to ensure stable playback under varying conditions. ... -
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any-agent
A single interface to use and evaluate different agent frameworks
any-agent is a Python library that provides a unified interface for working with multiple agent frameworks, allowing developers to create, run, and evaluate AI agents without being locked into a single ecosystem. It abstracts the differences between frameworks such as LangChain, LlamaIndex, OpenAI Agents, and others, enabling users to switch between them with minimal configuration changes. The library is designed to simplify experimentation and benchmarking, making it easier to compare agent... -
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clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
...It includes components for inference, indexing, filtering, and serving results through APIs, making it a complete pipeline for building production-ready retrieval systems. The framework also supports querying by image, text, or embedding, enabling flexible use cases such as reverse image search or multimodal content discovery. Additionally, it provides a simple frontend interface and backend services that can be deployed to expose search functionality to users. -
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OpenHome Abilities
Open-source abilities for OpenHome agents
...The system is meant to support a wide range of voice-driven actions, from API calls and media playback to quiz flows, device control, and multi-turn conversations, so it functions as a practical extension framework rather than a narrow template library. The repository includes official abilities maintained by the OpenHome team as well as community-contributed ones, creating both a stable baseline and a path for outside developers to publish their own work. -
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Taiko
A node.js library for testing modern web applications
...It provides a concise JavaScript API that allows developers to control browsers programmatically and create automated test scripts that simulate real user interactions with websites. The tool was developed by the team behind the Gauge testing framework and focuses on reliability and readability in browser automation workflows. Taiko works with Chromium-based browsers such as Chrome, Microsoft Edge, and Opera, and can also interact with Firefox, enabling developers to test modern web interfaces across multiple environments. The library includes intelligent element selection capabilities that automatically locate elements on the page, reducing the need for fragile CSS selectors or XPath expressions. -
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PySINDy
A package for the sparse identification of nonlinear dynamical systems
PySINDy is a Python library that implements the Sparse Identification of Nonlinear Dynamics (SINDy) method for discovering mathematical models of dynamical systems from data. The framework focuses on identifying governing equations that describe the behavior of complex physical systems by selecting sparse combinations of candidate functions. Instead of fitting a purely predictive machine learning model, PySINDy attempts to recover interpretable differential equations that explain how a system evolves over time. This approach is particularly valuable in scientific fields such as physics, engineering, and biology where researchers seek both predictive accuracy and theoretical insight. ... -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. ... -
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Zero to Mastery Machine Learning
All course materials for the Zero to Mastery Machine Learning
Zero to Mastery Machine Learning is an open-source repository that contains the complete course materials for the Zero to Mastery Machine Learning and Data Science bootcamp. The project provides a structured curriculum designed to teach machine learning and data science using Python through hands-on projects and interactive notebooks. The repository includes datasets, Jupyter notebooks, documentation, and example code that walk learners through the entire machine learning workflow from... -
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BBOT
The recursive internet scanner for hackers
BBOT is an advanced open-source reconnaissance automation framework designed to streamline large-scale OSINT and attack surface discovery workflows. It operates as a modular and recursive scanning tool that can enumerate subdomains, perform port scans, gather metadata, and collect web intelligence through a unified command-line interface. The project emphasizes extensibility, allowing users to create or integrate custom modules that expand the scope of reconnaissance tasks without modifying the core engine. ... -
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository... -
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ImAnim
Animation Engine for Dear ImGui
ImAnim is a lightweight animation engine that brings modern motion capabilities to applications built with the Dear ImGui immediate-mode GUI framework. It lets developers add rich, smooth animations to user interface elements with minimal boilerplate, matching the responsive nature of ImGui without introducing heavy external dependencies. Support for a wide range of easing functions, tweens, and keyframe clips gives fine-grained control over value transitions like position, scale, opacity, and color. ... -
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Wan Move
Motion-controllable Video Generation via Latent Trajectory Guidance
Wan Move is an open-source research codebase for motion-controllable video generation that focuses on enabling fine-grained control of motion within generative video models. It is designed to guide the temporal evolution of visual content by leveraging latent trajectory guidance, allowing users to manipulate how objects move over time without modifying the underlying generative architecture. By representing motion information as dense point trajectories and integrating them into the latent... -
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LiveAvatar
Streaming Real-time Audio-Driven Avatar Generation
LiveAvatar is an open-source research and implementation project that provides a unified framework for real-time, streaming, interactive avatar video generation driven by audio and other control signals. It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. -
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Torque2D
A completely free, open-source, 2D game engine
Torque2D is a free and open-source game engine focused on 2D development, built on proven Torque technology and provided under the MIT license. It delivers a flexible and high-performance C++ framework that supports cross-platform development for Windows, macOS, Linux, iOS, Android, and the web from a single codebase, allowing developers to target a broad range of devices with minimal changes. The engine includes essential components such as a batched OpenGL renderer, Box2D physics integration, OpenAL audio support, automated asset management, and sprite and skeletal animation systems that simplify bringing characters and environments to life. ... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to plug in custom models, track experiments, tune hyperparameters, and generate visualizations that highlight anomalous regions. ... -
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Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and... -
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Apache Bigtop
Bigtop is an Apache Foundation project for Infrastructure Engineers
Apache Bigtop is a project focused on building and packaging the Hadoop ecosystem and related big data components. It provides a consistent framework for testing, packaging, and deploying Hadoop distributions, including tools like HDFS, YARN, Spark, Hive, HBase, and more. By maintaining cross-platform builds (RPMs, DEBs, Docker images, and Kubernetes support), Bigtop makes it easier for organizations to deploy big data stacks in different environments. It also includes a set of integration tests and smoke tests to ensure compatibility and stability between ecosystem components. ... -
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DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation.