Showing 15 open source projects for "deep mind"

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  • 1
    OpenBrand

    OpenBrand

    Extract brand assets (logos, colors, backdrops) from any website

    ...It focuses on simplifying the creation of brand identities by integrating tools for generating logos, visual assets, and design systems in a cohesive environment. The project is built with extensibility in mind, allowing developers to integrate additional AI models or design pipelines to expand its capabilities. It provides a structured approach to branding by combining automation with user input, enabling rapid prototyping of brand concepts without requiring deep design expertise. OpenBrand also emphasizes modularity and reproducibility, making it suitable for teams that want to standardize branding processes across projects.
    Downloads: 15 This Week
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  • 2
    PgDog

    PgDog

    PostgreSQL connection pooler, load balancer and database sharder

    ...It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. ...
    Downloads: 1 This Week
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  • 3
    truffleHog

    truffleHog

    Searches through git repositories for high entropy strings and secrets

    ...TruffleHog is developed by a team entirely comprised of career security experts. Security is our passion and primary concern, and all features are developed with best practices in mind. TruffleHog enables you to track and manage secrets within our intuitive management interface, including links to exactly where secrets have been found. TruffleHog runs quietly in the background, continuously scanning your environment for secrets.
    Downloads: 5 This Week
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  • 4
    Roo Code

    Roo Code

    Roo Code gives you a whole dev team of AI agents in your code editor

    Roo Code is an AI-powered software engineering platform that works interactively in your IDE and autonomously in the cloud to help teams ship faster. It combines a powerful VS Code extension with cloud-based agents that can take on real development tasks across GitHub, Slack, and the web. Designed to work on your terms, Roo Code gives you full control locally while enabling delegation and parallel execution at scale. Its model-agnostic architecture ensures flexibility as AI models and...
    Downloads: 9 This Week
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  • 5
    Transcoder

    Transcoder

    Hardware-accelerated video transcoding using Android MediaCodec APIs

    ...Unlike traditional speech translation systems that rely on multi-stage pipelines, Transcoder directly translates one speaker’s video into another language while preserving facial expressions, lip-sync, and vocal identity. Designed for real-time use and production-grade pipelines, Transcoder combines advanced deep learning models with GPU acceleration to deliver high-quality translations across languages. It’s built with researchers and developers in mind, offering tools for testing, evaluating, and deploying AI-driven media localization.
    Downloads: 0 This Week
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  • 6
    FinRobot

    FinRobot

    An Open-Source AI Agent Platform for Financial Analysis using LLMs

    ...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place.
    Downloads: 0 This Week
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  • 7
    Vidi2

    Vidi2

    Large Multimodal Models for Video Understanding and Editing

    ...Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. The system is built with open-source release in mind, giving developers access to model code, inference scripts, and evaluation pipelines so they can reproduce research results or integrate Vidi into their own video-processing workflows.
    Downloads: 0 This Week
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  • 8
    MC-Explorer PRO

    MC-Explorer PRO

    MC-Explorer PRO Advanced dual-pane file explorer for macOS

    MC-Explorer PRO is a powerful file management tool designed for developers and advanced users who need speed, control, and efficiency when working with project files. It combines fast navigation with practical tools that help you move through complex directory structures, inspect files, and manage development environments more effectively. Unlike traditional file browsers, MC-Explorer PRO focuses on productivity. It allows users to quickly browse large folder hierarchies, organize project...
    Downloads: 2 This Week
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  • 9
    CSAw - NLP for low-resource languages

    CSAw - NLP for low-resource languages

    CSAw is an NLP framework for low-resource languages

    CSAw is an NLP framework for low-resource languages with a focus on machine translation. The primary goal is to build language models automatically from bilingual text (e.g., front and back translations) using a deep transfer rule-based approach. The core of this strategy is the Concept Specification and Abstraction semantic representation which is specially designed with machine translation in mind. See the preprint article here: https://arxiv.org/abs/1807.02226 The current framework includes transduction algorithms (i.e., from text to semantic representation and back again) and some components needed for automatic language model building (lexical alignment and grammar rule generation). ...
    Downloads: 0 This Week
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  • 10
    TensorLayer

    TensorLayer

    Deep learning and reinforcement learning library for scientists

    TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass tutorials and applications. TensorLayer is awarded the 2017 Best Open Source Software by the ACM Multimedia Society. This project can also be found at OpenI and Gitee. 3.0.0 has been pre-released, the current version...
    Downloads: 1 This Week
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  • 11
    Machine Learning Mindmap

    Machine Learning Mindmap

    A mindmap summarising Machine Learning concepts

    Machine Learning Mindmap repository is an open educational project that presents a comprehensive visual overview of the machine learning ecosystem through a structured mind map and cheat sheet. The project organizes a wide range of machine learning topics into an interconnected diagram that helps learners understand how concepts relate to one another across the broader field of artificial intelligence. The mind map covers fundamental areas such as data preprocessing, statistical analysis, supervised learning, unsupervised learning, reinforcement learning, and deep learning architectures. ...
    Downloads: 0 This Week
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  • 12
    Caffe Framework

    Caffe Framework

    Caffe, a fast open framework for deep learning

    Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding.
    Downloads: 0 This Week
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  • 13
    Caffe2

    Caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework

    Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries. ...
    Downloads: 0 This Week
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  • 14
    Broadleaf Commerce

    Broadleaf Commerce

    Broadleaf Commerce is an open source Java eCommerce platform.

    Broadleaf Commerce (www.broadleafcommerce.com) is an open source Java eCommerce platform based on the Spring Framework. Broadleaf Commerce uses a robust, extensible architecture that enables deep customization and rapid development. The core framework is licensed under the Apache 2 license with additional community and commercial modules. Find out more here (www.broadleafcommerce.com). To get started using the project, we recommend our Getting Started guide...
    Downloads: 0 This Week
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  • 15
    Fraunhofer SimWebApp
    Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de
    Downloads: 0 This Week
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