Search Results for "android application development" - Page 6
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Showing 259 open source projects for "android application development"
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Loss
The Brutalist Market Analyzer
LOSS is a high-speed, "split-stack" financial dashboard designed to strip away market noise. By combining mathematically rigorous technical indicators with VADER-powered AI sentiment analysis, LOSS delivers objective, real-time Buy, Sell, or Hold verdicts in under two seconds. Wrapped in a distraction-free, "Brutalist" user interface, this tool is built for traders who rely on data, not hype. Modern financial websites are bloated with ads, conflicting opinions, and unnecessary jargon.... -
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stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template... -
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Zylthra
Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.
Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface. -
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bitfarm-Archiv is a powerful Document Management (DMS), Enterprise Content Management (ECM) and Knowledge Management System (KMS) with Workflow Components. Help us! As we live in the internet age, the best thing, you can help, is to write a short statement about your scenario and your use of the DMS, along with your experiences and put it on your own website or in a blog or forum. It would help us best, if you can also add a hyperlink to our site http://www.bitfarm-archiv.com. By this...
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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Chatbot UI
AI chat for any model
Chatbot UI is an open-source, full-featured chat interface for AI models that aims to lower the barrier for anyone wanting to run their own AI-powered chatbot — whether using remote LLM APIs or local/self-hosted models. It bundles a modern frontend (Next.js + TypeScript + Tailwind) with a backend (Supabase by default) for persistent storage of chats, history, and user settings, replacing earlier local-storage-only approaches. The project supports multiple models/providers (e.g. OpenAI, local... -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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Machine Learning for Software Engineers
A complete daily plan for studying to become a machine learning engine
...The repository is structured to help learners gradually build the skills required for machine learning engineering positions while maintaining a focus on real-world application development. -
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Zero to Mastery Deep Learning TensorFlow
All course materials for the Zero to Mastery Deep Learning with TF
This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including... -
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Just download the above zip file, extract it and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome.
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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. ... -
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snorkel
A system for quickly generating training data with weak supervision
The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical and systems structure to the messy and often entirely manual process of training data creation and management, starting by empowering users to programmatically label, build, and manage training data. ... -
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Bard API
The unofficial python package that returns response of Google Bard
The Python package returns a response of Google Bard through the value of the cookie. This package is designed for application to the Python package ExceptNotifier and Co-Coder. Please note that the bardapi is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API. ... -
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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. Adrenaline aims to respond to a wide range of technical queries, including those about GitHub repositories, documentation sources, and code snippets. ... -
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pipeless
A computer vision framework to create and deploy apps in minutes
...You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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Computer vision projects
computer vision projects | Fun AI projects related to computer vision
Computer vision projects is an open-source collection of computer vision projects and experiments that demonstrate practical applications of modern AI techniques in image processing, robotics, and real-time visual analysis. The repository includes multiple demonstration systems implemented using languages such as Python and C++, covering topics ranging from object detection to embedded vision systems. Many of the projects illustrate how computer vision algorithms can interact with hardware... -
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InternLM
Official release of InternLM series
InternLM is an open-source family of multilingual foundation and chat models, accompanied by an ecosystem that supports training, inference, and application development. The repository highlights multiple model sizes intended to serve different needs, from efficient research and prototyping to more capable deployments for complex scenarios. Beyond model weights, the project emphasizes an ecosystem view, pointing developers to compatible tools and projects across training and inference so teams can build end-to-end workflows. ... -
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axflow
The TypeScript framework for AI development
Axflow is a modular TypeScript framework designed to support the development of natural language powered AI applications. The framework provides a collection of independent modules that can be adopted individually or combined to create a full AI application stack. Its core SDK enables developers to integrate language model capabilities into web applications while maintaining strong modular design principles. -
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RemoteTTS
Tool to remotely activate Text-To-Speech (TTS) on a server
The tool provides a simple TCP/UDP interface to let a remote machine perform TTS outputs. -
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Liveliness and Face Identification
Leading free and open-source liveliness check &face recognition system
This is a free and open-source liveliness check and face recognition project. Essentially, it is an application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use. The application is customizable react based mobile friendly UI and Python based backend. The program is a real-time face detection application. It allows you to detect faces using your webcam and displays the video feed with oval drawn around the... -
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OpenAssistant
Chat-based assistant that understands tasks
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. In the same way that Stable Diffusion helped the world make art and images in new ways, we want to improve the world by providing amazing conversational AI. We are in the early stages of development, working from established research in applying RLHF to large language models. Open Assistant is a project organized by LAION and individuals around... -
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LLMFlows
LLMFlows - Simple, Explicit and Transparent LLM Apps
LLMFlows is a framework for building simple, explicit, and transparent applications utilizing Large Language Models (LLMs). It emphasizes clarity and control in the development process, allowing developers to create LLM-powered applications with well-defined workflows and interactions. LLMFlows supports various LLMs and provides tools to manage prompts, responses, and application logic effectively. -
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Super Easy AI Installer Tool
Application that simplifies the installation of AI-related projects
..."Super Easy AI Installer Tool" is currently in early development phase and may have a few bugs. But remains a great solution for users with minimal technical knowledge or expertise. Fixes underway. A tool that can generate animations and music from text, ideal for producing short videos and GIFs, as well as creating brief cinematic scenes. -
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LLM Applications
A comprehensive guide to building RAG-based LLM applications
LLM Applications is a practical reference repository that demonstrates how to build production-grade applications powered by large language models. The project focuses particularly on Retrieval-Augmented Generation architectures, which combine language models with external knowledge sources to improve accuracy and reliability. It provides step-by-step guidance for constructing systems that ingest documents, split them into chunks, generate embeddings, index them in vector databases, and... -
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HyperCLIPS
CLIPS compatible application which allows a high performance execution
HyperCLIPS was designed for high performance, especially with the CLIPS program which have a great deal of numeric calculation or memory allocation, along with keeping almost full compatibility with the original version of CLIPS. You can use HyperCLIPS to run CLIPS programs with no modification. The original version of CLIPS Rule Based Programming Language is available from here. https://sourceforge.net/p/clipsrules/ The misclns4.tst is a good example for it because...
