Search Results for "quality" - Page 39
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Showing 4107 open source projects for "quality"
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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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utility-types
Utility types, complementing TypeScript built-in mapped types
Providing a set of Common Types for TypeScript projects that are idiomatic and complementary to existing TypeScript Mapped Types so you don't need to copy them between the projects. Providing a set of Additional Types compatible with Flow's Utility Types to allow much easier migration to TypeScript. Quality, thoroughly tested for type correctness with type-testing library dts-jest. Utility-Types is an open-source project created by people investing their time for the benefit of our community. -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
TensorFlow Hub is a repository that provides a library and platform for publishing, discovering, and reusing pre-trained machine learning models built with TensorFlow. The project enables developers to integrate high-quality models into their applications without needing to train them from scratch. Through TensorFlow Hub, researchers and practitioners can share reusable model components such as image classifiers, text embedding models, and object detection networks. These models can be loaded directly into TensorFlow pipelines and fine-tuned for new tasks using transfer learning techniques. ... -
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ML YouTube Courses
Discover the latest machine learning / AI courses on YouTube
ML YouTube Courses is a curated index of high-quality machine learning and AI courses available on YouTube, designed to make open education easier to discover and navigate. The repository organizes lectures from top universities and educators into a structured list so learners can quickly find reputable material. It covers a wide range of topics including deep learning, NLP, probabilistic modeling, reinforcement learning, and computer vision. -
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Resemble Enhance
AI powered speech denoising and enhancement
Resemble Enhance is an AI-powered speech enhancement tool focused on improving the quality of recorded or generated voice audio. It combines denoising and enhancement so speech can sound cleaner, clearer, and more polished. The denoising module separates speech from unwanted background noise, while the enhancement module improves perceptual quality by restoring distortions and extending audio bandwidth. It is useful for voice datasets, podcasts, narration, generated speech, and other workflows where speech clarity matters. ... -
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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Proxy_Pool
Python crawler proxy IP pool (proxy pool)
The main function of the crawler agent IP pool project is to regularly collect free agents published on the Internet for verification and storage, and to regularly verify and store agents to ensure the availability of agents, and to provide API and CLI. At the same time, you can also expand the proxy source to increase the quality and quantity of the proxy pool IP. -
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SonoBus
SonoBus, a real-time network audio streaming collaboration tool
SonoBus is an easy-to-use application for streaming high-quality, low-latency peer-to-peer audio between devices over the internet or a local network. Simply choose a unique group name (with an optional password), and instantly connect multiple people together to make music, remote sessions, podcasts, etc. Easily record the audio from everyone, as well as playback any audio content to the whole group. -
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dbt-re-data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up... -
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re_data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up Slack notifications to always know when a new report is produced or an existing one got updated. -
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NUTRIENT FINDER is a tool that you can easily find nutrients, create recipes, find energy value and export all datas as Excel file.
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Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
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Atlas aims to provide high quality maps of the world for use in FlightGear, an open source flight simulator.
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123FASTQ
An intuitive and efficient tool for preprocessing Illumina FASTQ reads
123FASTQ performs all the pre-processes of Illumina next-generation sequencing reads (FASTQ files) easier than ever. Download the quick user manual for the latest version: https://dl.adbioinformatics.net/NGSNeeds/myTools/123Fastq_v1.3_Manual.pdf Authors: Milad Eidi, Samaneh Abdolalizadeh, Mohammad Hossein Nassirpour Supervisors: Javad Zahiri, PhD University of California San Diego Masoud Garshasbi, PhD Tarbiat Modares University, Tehran, Iran If you use 123FASTQ,... -
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Piper TTS
A fast, local neural text to speech system
Piper is a fast, local neural text-to-speech (TTS) system developed by the Rhasspy team. Optimized for devices like the Raspberry Pi 4, Piper enables high-quality speech synthesis without relying on cloud services, making it ideal for privacy-conscious applications. It utilizes ONNX models trained with VITS to deliver natural-sounding voices across various languages and accents. Piper is particularly suited for offline voice assistants and embedded systems. -
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can... -
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An Open Source OS, based on Android, that incorporates many customization options and added security features. One of our main focuses is to provide a quality ROM that can run on all your devices, preserving customization and options. Apollo comes in a few variants. (Gapps, Vanilla, MicroG for now)
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PHP Depend
PHP_Depend is an adaptation of the established Java development tool
PHP_Depend is an adaptation of the established Java development tool JDepend. This tool shows you the quality of your design in terms of extensibility, reusability and maintainability. The maintainers of PHP Depend and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. -
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DPM-Solver
Fast ODE Solver for Diffusion Probabilistic Model Sampling
...This approach significantly reduces the computational cost required to generate images while maintaining strong generation quality. -
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axflow
The TypeScript framework for AI development
...Additional components support data ingestion, evaluation, and model interaction workflows that are commonly required when building production AI systems. For example, the framework includes modules for connecting application data to language models, evaluating the quality of model outputs, and building streaming user interfaces. Because each component can be used independently, developers can adopt Axflow incrementally rather than committing to a monolithic framework. This flexibility makes the system suitable for both experimentation and production environments. -
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Open Match
Flexible, extensible, and scalable video game matchmaking
...Building your Matchmaker is hard! Along with implementing the core logic to generate quality matches, it also involves solving challenging problems such as handling massive player populations, effectively searching through them and concurrently processing match generation logic at scale. -
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Adala
Adala: Autonomous DAta (Labeling) Agent framework
Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment. -
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Exposure Correction
Learning multi-scale deep model correcting over- and under- exposed
...The repository includes pre-trained models, datasets, and training/testing code to enable reproducibility and experimentation. By leveraging this framework, researchers and developers can apply exposure correction to a wide range of natural images, improving visual quality without manual editing. The project serves both as a research reference and a practical tool for computational photography and image enhancement. -
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GPT-2 Output Dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods for distinguishing machine-generated content from human-authored text. The repository provides scripts and metadata for working with the dataset, with the goal of supporting research in areas like detection, evaluation of text coherence, and analysis of generative models. ... -
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GatcomVideo
Graphical application included in the VDSF-VN framework
Application developed in Java that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, launching the simulations in parallel, generating graphs with the results, and analysing the received video quality with several Quality of Experience (QoE) metrics: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), ... GatcomVideo is part of the Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN), which is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The "ppp_qos" project and the application GatcomSUMO are downloadable from different SourceForge projects. ... -
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Stable Diffusion Rembg
Removes backgrounds from pictures. Extension for webui
This project is an extension for the Stable Diffusion Web UI that removes backgrounds from images directly inside the interface. It wraps popular background-removal models so creators can take a generated or uploaded image and isolate the subject with a single click. The workflow is designed to be non-destructive: you can preview, tweak thresholds, and export either a transparent PNG or a masked layer for further editing. Because it runs within the Web UI, you can chain it with other... -
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Images To PDF
ImagesToPDF freeware designed to convert image files into PDF
...With its intuitive interface and straightforward functionality, Images To PDF streamlines the process of converting various image formats, such as JPG, and PNG, into high-quality PDF files. The application provides users with essential features and customization options to tailor the output PDF according to their preferences. -
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YiVal
Your Automatic Prompt Engineering Assistant for GenAI Applications
...It focuses on experimentation and optimization by allowing users to test multiple prompt variations, configurations, and model parameters in parallel, then evaluate their outputs using structured metrics and scoring systems. The platform is particularly useful in production environments where prompt quality directly impacts user experience, as it provides a repeatable and data-driven approach to refining prompts rather than relying on manual trial and error. YiVal supports integration with various LLM providers and can orchestrate experiments across different models, making it adaptable to evolving AI ecosystems. It also includes evaluation pipelines that help quantify output quality based on criteria such as accuracy, coherence, or task-specific benchmarks.
